Awesome 🎉Deep Learning Based Image Compression
3 | 4 | 5 | [](https://github.com/sindresorhus/awesome)   6 | 7 | 8 | # Contents (After June 2024) 9 | 10 | - [Generative compression](#LosslessCompression) 11 | 12 | - [Lossless compression](#LosslessCompression) 13 | 14 | - [Variable Rate/ Scalable Compression](#vr) 15 | 16 | - [Quantization](#quantization) 17 | 18 | - [Entropy Model](#em) 19 | 20 | - [Achitecture](#ar) 21 | 22 | - [Screen Content Image](#screen) 23 | 24 | - [HDR Image](#hdr) 25 | 26 | - [Image coding for machine vision](#icm) 27 | 28 | - [Medical Image](#ma) 29 | 30 | - [Implicit neural representation (INR)](#inr) 31 | 32 | - [Panoramic Image](#pi) 33 | 34 | - [Benchmark & Dataset & Survey](#bmk) 35 | 36 | - [Others](#others) 37 | 38 | # Group by time (Before June 2024) 39 | 40 | - [2024](#2024) 41 | - [2023](#2023) 42 | - [2022](#2022) 43 | - [2021](#2021) 44 | - [2020](#2020) 45 | - [2019](#2019) 46 | - [2018](#2018) 47 | - [2017](#2017) 48 | 49 | 50 | --- 51 | ### Generative compression 52 | 53 | | Title | Pub. & Date 54 | |:-----|:-----:| 55 | |[Efficient Progressive Image Compression with Variance-aware Masking](http://arxiv.org/abs/2411.10185v3) | arXiv 2024 56 | |[UniMIC: Towards Universal Multi-modality Perceptual Image Compression](None) | arXiv 2024 57 | |[Progressive Compression with Universally Quantized Diffusion Models](http://arxiv.org/abs/2412.10935v2) | arXiv 2024 58 | |[Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression](http://arxiv.org/abs/2412.11379v1) | arXiv 2024 59 | |[ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck](https://arxiv.org/pdf/2407.19651) | arXiv 2024 60 | |[Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression](http://arxiv.org/abs/2412.12982v1) | arXiv 2024 61 | |[Linearly transformed color guide for low-bitrate diffusion based image compression](http://arxiv.org/abs/2407.12538v1) | TIP 2024 62 | |[JPEG-LM: LLMs as Image Generators with Canonical Codec Representations](https://arxiv.org/pdf/2408.08459) | arXiv 2024 63 | | [Image Encryption and Compression Based on Reversed Diffusion Model](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566414&casa_token=4U0sgUNsxyQAAAAA:0ayUIqrQmKrwfM8v1sE67ZZaS48OiReJjRZdRqHyTlnCHI4zm_PSEqwM4QsvNI7qccQzSXg) | PCS 2024 64 | | [Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption](https://arxiv.org/pdf/2406.00758) | arXiv 2024 65 | | [Machine Perception-Driven Facial Image Compression: A Layered Generative Approach](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10570244&casa_token=xkZkXmlgP3wAAAAA:DYmBBrPQf2IwWoUAF70Te7XtdfSg85ud771PVI_vkfwCbjPUTB1cGuM3k_levF40o4NmV-s)| TCSVT 2024 66 | | [Understanding is Compression](https://arxiv.org/pdf/2407.07723) | arXiv 2024 67 | | [High Efficiency Image Compression for Large Visual-Language Models](https://arxiv.org/pdf/2407.17060) | arXiv 2024 68 | | [Consistency Guided Diffusion Model with Neural Syntax for Perceptual Image Compression](https://openreview.net/pdf?id=nSUMQhITdd) |ACM MM 2024 69 | | [Zero-Shot Image Compression with Diffusion-Based Posterior Sampling](https://arxiv.org/pdf/2407.09896) | arXiv 2024 70 | | [High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion](https://arxiv.org/pdf/2407.12538) | arXiv 2024 71 | |[Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression](https://arxiv.org/pdf/2407.12295) | arXiv 2024 72 | | [LDM-RSIC: Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression](https://arxiv.org/pdf/2406.03961) | arXiv 2024 73 | | [Generative Latent Coding for Ultra-Low Bitrate Image Compression](https://openaccess.thecvf.com/content/CVPR2024/papers/Jia_Generative_Latent_Coding_for_Ultra-Low_Bitrate_Image_Compression_CVPR_2024_paper.pdf) | CVPR 2024 74 | | [Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption](https://arxiv.org/pdf/2406.00758) | arXiv 2024 75 | | [CMC-Bench: Towards a New Paradigm of Visual Signal Compression](https://arxiv.org/abs/2406.09356) | arXiv 2024 76 | 77 | 78 | 79 | 80 | ### Lossless Compression 81 | | Title | Pub. & Date 82 | |:-----|:-----:| 83 | |[Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding](http://arxiv.org/abs/2412.00369v1) | arXiv 2024 84 | |[Hybrid-context-based multi-prior entropy modeling for learned lossless image compression](https://www.sciencedirect.com/science/article/abs/pii/S0031320324003832) | Pattern Recognition 2024 85 | |[Learned Lossless Image Compression based on Bit Plane Slicing](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_Learned_Lossless_Image_Compression_based_on_Bit_Plane_Slicing_CVPR_2024_paper.pdf) | Pattern Recognition 2024 86 | 87 | 88 | ### Variable Rate / Scalable Compression 89 | | Title | Pub. & Date 90 | |:-----|:-----:| 91 | |[Towards Scalable Compression with Universally Quantized Diffusion Models](https://openreview.net/pdf?id=1groaXTrKo) | NeurIPSW 2024 92 | |[Flexible image decoding in learned image compression](https://neurips.cc/virtual/2024/98246) | NeurIPSW 2024 93 | |[Variable-size Symmetry-based Graph Fourier Transforms for image compression](http://arxiv.org/abs/1907.07875v1) | arXiv 2024 94 | |[Latent Variables Coding for Perceptual Image Compression](http://arxiv.org/abs/2207.04324v2) | ACM MM 2024 95 | |[STanH: Parametric Quantization for Variable Rate Learned Image Compression](https://arxiv.org/pdf/2410.00557) | arXiv 2024 96 | | [RAQ-VAE: Rate-Adaptive Vector-Quantized Variational Autoencoder](https://arxiv.org/pdf/2405.14222) | Arxiv 2024 97 | 98 | 99 | 100 | 101 | 102 | 103 | ### Quantization 104 | | Title | Pub. & Date 105 | |:-----|:-----:| 106 | |[Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression](https://openreview.net/pdf?id=wqN6rWwYsr) | NeurIPSW 2024 107 | |[Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression](http://arxiv.org/abs/2411.16119v1) | arXiv 2024 108 | |[Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10689618) | TNNLS 2024 109 | |[Lossy Image Compression with Stochastic Quantization](https://arxiv.org/pdf/2409.09488v1) | arXiv 2024 110 | |[Quantization-free Lossy Image Compression Using Integer Matrix Factorization](https://www.arxiv.org/pdf/2408.12691) | arXiv 2024 111 | |[DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding](https://arxiv.org/pdf/2408.12150) | arXiv 2024 112 | |[A Quantization Loss Compensation Network for Remote Sensing Image Compression](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566339&casa_token=6MnXai1ergEAAAAA:98ttJhOF_UU12y_KPlwG0kWpI35xBScxcKz4gIbyAdOow-5pe4hasuqIPeC7nBrnavlgr7Y) | PCS 2024 113 | |[Image and Video Tokenization with Binary Spherical Quantization](https://arxiv.org/pdf/2406.07548) | arXiv 2024 114 | |[NLIC: Non-uniform Quantization based Learned Image Compression](https://ieeexplore.ieee.org/abstract/document/10531761) | TCSVT 2024 115 | 116 | 117 | 118 | 119 | ### Entropy Model 120 | | Title | Pub. & Date 121 | |:-----|:-----:| 122 | |[Generalized Gaussian Model for Learned Image Compression](http://arxiv.org/abs/2411.19320v1) | arXiv 2024 123 | |[The Gap Between Principle and Practice of Lossy Image Coding](http://arxiv.org/abs/2501.12330v1) | arXiv 2025 124 | |[Group Image Compression for Dual Use of Machine and Human Vision](http://arxiv.org/abs/2405.09152v5) | TCSVT 2024 125 | |[Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec](http://arxiv.org/abs/2411.05832v1) | arXiv 2024 126 | |[Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression](https://arxiv.org/pdf/2410.07669) | arXiv 2024 127 | |[Causal Context Adjustment Loss for Learned Image Compression](https://arxiv.org/pdf/2410.04847) | arXiv 2024 128 | |[Spatial-Temporal Context Model for Remote Sensing Imagery Compression](https://openreview.net/pdf?id=YTNN0mOPQN) | ACM MM 2024 129 | |[WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model](https://arxiv.org/pdf/2407.09983) | arXiv 2024 130 | |[Rethinking Learned Image Compression: Context is All You Need](https://arxiv.org/pdf/2407.11590) | arXiv 2024 131 | |[Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model](https://arxiv.org/pdf/2407.10632) | arXiv 2024 132 | 133 | ### Lossless Compression 134 | | Title | Pub. & Date 135 | |:-----|:-----:| 136 | |[CALLIC: Content Adaptive Learning for Lossless Image Compression](https://arxiv.org/abs/2412.17464) | arXiv 2024 137 | |[Learning Lossless Compression for High Bit-Depth Volumetric Medical Image](https://arxiv.org/pdf/2410.17814) | arXiv 2024 138 | |[Rate-Complexity Optimization in Lossless Neural-Based Image Compression](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10647302&casa_token=xbYddfRSqMoAAAAA:19cLT7kxdjVYv0j84IsNlUYujos72wpW_2phbqj45fjq-mNwLktHwGzZwENu4faVl1nvkhA) | ICIP 2024 139 | 140 | 141 | 142 | ### Achitecture 143 | | Title | Pub. & Date 144 | |:-----|:-----:| 145 | |[Learning Optimal Linear Block Transform by Rate Distortion Minimization](http://arxiv.org/abs/2411.18494v1) | arXiv 2024 146 | |[Sparse Point Clouds Assisted Learned Image Compression](http://arxiv.org/abs/2412.15752v1) | TCSVT 2024 147 | |[On Disentangled Training for Nonlinear Transform in Learned Image Compression](http://arxiv.org/abs/2501.13751v1) | arXiv 2025 148 | |[Test-time adaptation for image compression with distribution regularization](https://arxiv.org/pdf/2410.12191) | arXiv 2024 149 | |[Effectiveness of learning-based image codecs on fingerprint storage](https://arxiv.org/pdf/2409.18730) | arXiv 2024 150 | |[Gabic: Graph-Based Attention Block for Image Compression](https://arxiv.org/abs/2410.02981) | ICIP 2024 151 | |[Streaming Neural Images](https://arxiv.org/pdf/2409.17134) | ICIP 2024 152 | |[Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression](https://www.arxiv.org/pdf/2408.03842) | arXiv 2024 153 | |[Extreme Low Bitrate Image Compression System for Mobile Deployment](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10743248&casa_token=uVcLjjVsiIAAAAAA:umWqK3-lWEAaYZLS6bGRwU83D_HltSVBFOPPF547AAOr-fKWKk4cWWscip13hDKI1ZYlPoc) | MMSP 2024 154 | |[Window-based Channel Attention for Wavelet-enhanced Learned Image Compression](https://arxiv.org/pdf/2409.14090) | arXiv 2024 155 | |[Feature Enhanced Learning Image Compression With Recurrent Criss-Cross Attention](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10647907&casa_token=_xL4m5ekrn0AAAAA:c7C1H9icT_KyIsjmgCz2uuikwvp8ukPivv5cDm_3V5nCspElz4BQXWWPxnrtmZmGv4pYddY) | ICIP 2024 156 | |[Approximately Invertible Neural Network for Learned Image Compression](https://arxiv.org/pdf/2408.17073) | arXiv 2024 157 | |[Rate-Distortion-Perception Controllable Joint Source-Channel Coding for High-Fidelity Generative Communications](https://arxiv.org/pdf/2408.14127) | Arxiv 2024 | 158 | |[Structured Pruning and Quantization for Learned Image Compression](https://ieeexplore.ieee.org/abstract/document/10648236/authors#authors) | ICIP 2024 | 159 | |[Practical Learned Image Compression with Online Encoder Optimization](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566341&casa_token=5IwoTIplk3sAAAAA:qmSZUREE9iZFM3FtnOzIscEwUAonnBfKeBw8tRob7l35ZWuRRaxxcKx68NXw8vRraaBVmrU) | PCS 2024 | 160 | |[On Efficient Neural Network Architectures for Image Compression](https://arxiv.org/pdf/2406.10361) | arXiv 2024 | 161 | |[A Study on the Effect of Color Spaces in Learned Image Compression](https://arxiv.org/pdf/2406.13709) | arXiv 2024 | 162 | |[Learning-Based Conditional Image Compression](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10558571&casa_token=7OHwnFHkwDUAAAAA:fZ9rVL-B_QI8BT4AWEJkS8-M07rg9VWUxSY3Z1MBlWqoNQtpc4l9wDjz4uchHFS2SPZErEI) | ISCAS 2024 | 163 | |[Asymmetric Neural Image Compression with High-Preserving Information](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10558635&casa_token=iR30sgfqXX0AAAAA:CygeYdTY8WGiAaUw68kNTiQAcmmiu1nSCbQ13daszhrMk4SO72ODDxLDgjAmHnlCXWRBwBs) | ISCAS 2024 | 164 | |[Wavelet-like Transform with Subbands Fusion in Decoupled Structure for Deep Image Compression](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10566428&casa_token=wYpGkb8wjkQAAAAA:xImfyLYnypOrxhvo6O4UHwHGsOVstRa_6jbBbmRMPdlJLMkBZsULXdcdHJ2wWnVIxkZkmsI) | PCS 2024 | 165 | |[FDNet: Frequency Decomposition Network for Learned Image Compression](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10559830&casa_token=FWJQglVJO3MAAAAA:BTaIvWu6YnP42QFsGfQak48wjhoAfmxhLVSZjJX-kgjRJ-2dH3y3tteKQn8h5-U-YCZP-IE) | TCSVT 2024 | 166 | |[Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation](https://arxiv.org/pdf/2407.09853) | arXiv 2024 | 167 | |[Rate-Distortion-Cognition Controllable Versatile Neural Image Compression](https://arxiv.org/pdf/2407.11700) | arXiv 2024 | 168 | |[MambaVC: Learned Visual Compression with Selective State Spaces](https://arxiv.org/pdf/2405.15413) | arXiv 2024 | [code](https://github.com/QinSY123/2024-MambaVC) | 169 | 170 | 171 | 172 | 173 | ### Screen Content Image 174 | | Title | Pub. & Date 175 | |:-----|:-----:| 176 | | [DSCIC: Deep Screen Content Image Compression](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10577165&casa_token=ddUlyV468d4AAAAA:Ep5T9S4nD7zCZWS-ml46aRYuuKqAYMW518K3gLntWQ7GDCjuPpxRY5M7B7UtF42qZ_KiiuU&tag=1) | TCSVT 2024 177 | 178 | 179 | ### HDR Image 180 | | Title | Pub. & Date 181 | |:-----|:-----:| 182 | |[Breaking Boundaries: Unifying Imaging and Compression for HDR Image Compression](http://arxiv.org/abs/2407.13179v1) | TIP 2025 183 | |[Learned HDR Image Compression for Perceptually Optimal Storage and Display](https://arxiv.org/pdf/2407.13179) | arXiv 2024 184 | 185 | ### Image coding for machine vision 186 | | Title | Pub. & Date 187 | |:-----|:-----:| 188 | |[Neural Image Compression with Regional Decoding](https://dl.acm.org/doi/10.1145/3708347) | ToMM 2024 189 | |[Saliency Segmentation Oriented Deep Image Compression With Novel Bit Allocation](http://arxiv.org/abs/2402.08862v1) | TIP 2024 190 | |[LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model](None) | arXiv 2024 191 | |[Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression](http://arxiv.org/abs/2310.09382v1) | TCSVT 2025 192 | |[An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks](http://arxiv.org/abs/2501.04329v1) | arXiv 2025 193 | |[Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision](http://arxiv.org/abs/2501.04579v1) | arXiv 2025 194 | |[All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation](https://arxiv.org/pdf/2409.19660v1) | arXiv 2024 195 | |[Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs](https://arxiv.org/pdf/2408.08575) | arXiv 2024 196 | |[Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines](https://arxiv.org/pdf/2408.07028) | arXiv 2024 197 | |[Group Image Compression for Dual Use of Machine and Human Vision]() | TCSVT 2024 198 | |[Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines](https://arxiv.org/pdf/2408.07028) | MMSP 2024 199 | |[Compression of Self-Supervised Representations for Machine Vision](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10743309&casa_token=zKA0n7bsqFUAAAAA:HAwTji45HCcml__D27xCp29vhfB8Im2TXKbHm29ObXI80UW3kiaW4ckTorJJC7p1cZGUS5Y) | arXiv 2024 200 | |[Learned Image Compression for Both Humans and Machines via Dynamic Adaptation](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10647464&casa_token=____eHFo8BMAAAAA:U-jtu0xTn0RWA80FDfNvfith5yJz0sdvRTl5UhTQBhG_J874g9eNBXllfFgFRByMqDnY1zI&tag=1) | ICIP 2024 201 | |[Image Coding For Machine Via Analytics-Driven Appearance Redundancy Reduction](https://ieeexplore.ieee.org/abstract/document/10648033?casa_token=H_-iMbpng6oAAAAA:zbDs9boDRETBQINfnLEbkz31FcWDyoORoBTCrmmlqXzN86tKR6sqdmXIAA-uHmVH1agtBxsCZw) | ICIP 2024 202 | |[Saliency Map-Guided End-to-End Image Coding for Machines](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10574324&casa_token=3hjufBt4DOEAAAAA:ZVH9S11WP5wB3eRmfHs02WCpHHe4_7cHo1SWnMNBuwaCoOJgkxOWk3UXhyUBlAVpCW4fgy4) | SPL 2024 | 203 | |[Redundancy Removal Module for Reducing the Bitrates of Image Coding for Machines](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10557851&casa_token=Fu-eEJDIq1gAAAAA:ap6uExZfQWevfhbLwgq3NoH-Q3SR4UBhsSFF7tnnAMTTsZjDPpUz73J0dSMhwR0B0iwQgH8) | ISCAS 2024 | 204 | 205 | 206 | ### Medical Image 207 | | Title | Pub. & Date 208 | |:-----|:-----:| 209 | |[Versatile Volumetric Medical Image Coding for Human-Machine Vision](http://arxiv.org/abs/2412.09231v1) | arXiv 2024 210 | |[UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation](https://arxiv.org/pdf/2405.16850) | Arxiv 2024 211 | 212 | 213 | ### Implicit Neural Representation 214 | | Title | Pub. & Date 215 | |:-----|:-----:| 216 | |[Redefining Visual Quality: The Impact of Loss Functions on INR-Based Image Compression](https://ieeexplore.ieee.org/abstract/document/10647328) | ICIP 2024 217 | |[Implicit Neural Image Field for Biological Microscopy Image Compression](https://ieeexplore.ieee.org/abstract/document/10647328?casa_token=4zOGbEd8ye4AAAAA:HK-ntiQYpO25P-fk_Dob31eeKFZOJ4CFqwOTT5ZaivzBkAUTfcXvoLWxHeaPhoH6K2_BtZHF-A) | ICIP 2024 218 | 219 | ### Panoramic Image 220 | | Title | Pub. & Date 221 | |:-----|:-----:| 222 | |[Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression](https://ieeexplore.ieee.org/abstract/document/10721338/authors#authors) | ICIP 2024 223 | 224 | ### Benchmark & Dataset & Survey 225 | | Title | Pub. & Date 226 | |:-----|:-----:| 227 | |[JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach](https://ieeexplore.ieee.org/document/10807668/) | IEEE MultiMedia 2024 228 | |[OpenDIC: An Open-Source Library and Performance Evaluation for Deep-learning-based Image Compression](https://dl.acm.org/doi/pdf/10.1145/3664647.3685519) | ACMMM 2024 229 | 230 | 231 | 232 | ### Others 233 | | Title | Pub. & Date 234 | |:-----|:-----:| 235 | |[Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior](http://arxiv.org/abs/2412.01646v1) | arXiv 2024 236 | |[JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset](http://arxiv.org/abs/2411.06810v1) | arXiv 2024 237 | |[An Information-Theoretic Regularizer for Lossy Neural Image Compression](http://arxiv.org/abs/2411.16727v2) | arXiv 2024 238 | |[Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability, Throughput, and Latency](http://arxiv.org/abs/2411.10650v1) | arXiv 2024 239 | |[HNR-ISC: Hybrid Neural Representation for Image Set Compression](https://ieeexplore.ieee.org/document/10814661/) | TMM 2024 240 | |[Is JPEG AI going to change image forensics?](http://arxiv.org/abs/2412.03261v1) | arXiv 2024 241 | |[2D Gaussian Splatting for Image Compression](https://www.nowpublishers.com/article/OpenAccessDownload/SIP-20240025) | ATSIP 2024 242 | |[Cross-Platform Neural Video Coding: A Case Study](https://arxiv.org/pdf/2410.20145) | arXiv 2024 243 | |[Gone With the Bits: Benchmarking Bias in Facial Phenotype Degradation Under Low-Rate Neural Compression](https://openreview.net/pdf?id=zIrvyQdIG4) | ICMLW 2024 244 | |[Few-Shot Domain Adaptation for Learned Image Compression](https://arxiv.org/pdf/2409.11111) | arXiv 2024 245 | 246 | ## ✔2024 [ «🎯Back To Top» ](#) 247 | 248 | - (SPL 2024) **OMR-NET: A Two-Stage Octave Multi-Scale Residual Network for Screen Content Image Compression** Jiang S, Ren T, Fu C, et al. [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10552293&casa_token=HZozj0vMXvkAAAAA:_7rf8zPrb-WjgI1-i9BoraOqIEMGQdTWcvj2NUfc-3GEtogq1VavMVzi2kKx8yF3hrNoAX6lfg&tag=1) 249 | 250 | 251 | - (TPAMI 2024) **I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression** Cai, Shilv and Chen, Liqun and Zhang, Zhijun and Zhao, Xiangyun and Zhou, Jiahuan and Peng, Yuxin and Yan, Luxin and Zhong, Sheng and Zou, Xu [paper](https://ieeexplore.ieee.org/abstract/document/10411123) 252 | 253 | - (ICASSP 2024) **Leveraging Redundancy in Feature for Efficient Learned Image CompressionN** Qin, Peng and Bao, Youneng and Meng, Fanyang and Tan, Wen and Li, Chao and Wang, Genhong and Liang, Yongsheng [paper](https://ieeexplore.ieee.org/abstract/document/10447424) 254 | 255 | - (ICASSP 2024) **RATE-QUALITY BASED RATE CONTROL MODEL FOR NEURAL VIDEO COMPRESSION** Liao, Shuhong and Jia, Chuanmin and Fan, Hongfei and Yan, Jingwen and Ma, Siwei [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10447777) 256 | - (ICASSP 2024) **Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression** Zhi, Cao and Youneng, Bao and Fanyang, Meng and Chao, Li and Wen, Tan and Genhong, Wang and Yongsheng, Liang[paper](https://arxiv.org/pdf/2403.06700v1.pdf) 257 | 258 | - (AAAI 2024) **Make Lossy Compression Meaningful for Low-Light Images** Cai, Shilv and Chen, Liqun and Zhong, Sheng and Yan, Luxin and Zhou, Jiahuan and Zou, Xu [paper](https://ojs.aaai.org/index.php/AAAI/article/download/28664/29289) 259 | - (AAAI 2024) **End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy** Zheng, Huiming and Gao, Wei [paper](https://ojs.aaai.org/index.php/AAAI/article/download/28588/29143) 260 | 261 | - (CVPR 2024) **Towards Backward-Compatible Continual Learning of Image Compression** Duan, Zhihao and Lu, Ming and Yang, Justin and He, Jiangpeng and Ma, Zhan and Zhu, Fengqing [paper](https://arxiv.org/pdf/2402.18862v1.pdf) 262 | 263 | - (NeurIPS 2024) **Compression with bayesian implicit neural representations** Guo, Zongyu and Flamich, Gergely and He, Jiajun and Chen, Zhibo and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel [paper](https://arxiv.org/pdf/2305.19185.pdf) 264 | 265 | - (TIP 2024) **Bilateral Context Modeling for Residual Coding in Lossless 3D Medical Image Compression** Liu, Xiangrui and Wang, Meng and Wang, Shiqi and Kwong, Sam [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10478821) 266 | 267 | 268 | - (TMM 2024) **Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication** Sheng, Xihua and Li, Li and Liu, Dong and Li, Houqiang [paper](https://arxiv.org/pdf/2401.15864.pdf) 269 | 270 | - (TCSVT 2024) **FICNet: An End to End Network for Free-view Image Coding** Yang, Chunhui and Yang, Jiayu and Zhai, Yongqi and Wang, Ronggang[paper](https://ieeexplore.ieee.org/document/10504389?denied=) 271 | - (TCSVT 2024) **GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression** Li, Daxin and Bai, Yuanchao and Wang, Kai and Jiang, Junjun and Liu, Xianming and Gao, Wen [paper](https://arxiv.org/pdf/2405.01170) 272 | - (TCSVT 2024) **Multirate Progressive Entropy Model for Learned Image Compression** Li, Chao and Yin, Shanzhi and Jia, Chuanmin and Meng, Fanyang and Tian, Yonghong and Liang, Yongsheng [paper](https://ieeexplore.ieee.org/document/10471618) 273 | - (TCSVT 2024) **EUICN: An Efficient Underwater Image Compression Network** Li, Mengyao and Shen, Liquan and Hua, Xia and Tian, Zhaoyi [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445326) 274 | - (TCSVT 2024) **Rate-Distortion Optimized Cross Modal Compression with Multiple Domains** Gao, Junlong and Jia, Chuanmin and Huang, Zhimeng and Wang, Shanshe and Ma, Siwei and Gao, Wen [paper](https://ieeexplore.ieee.org/abstract/document/10430161) 275 | 276 | - (ToMM 2024) **Perceptual Quality-Oriented Rate Allocation via Distillation from End-to-End Image Compression** Yang, Runyu and Liu, Dong and Ma, Siwei and Wu, Feng and Gao, Wen [paper](https://dl.acm.org/doi/pdf/10.1145/3650034) 277 | 278 | 279 | - (TGRS 2024) **Remote Sensing Image Compression Based on High-Frequency and Low-Frequency Components** Xiang, Shao and Liang, Qiaokang [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10379598&casa_token=8o7Rvla9bkIAAAAA:BdM70h2rnznpm8AjLpmF2OaaY4LOyj96msdVfnJyaYeQ-EVVWgoAz8YSFYoxbq2tG6L95AQr) 280 | 281 | 282 | - (WCACV 2024) **Neural Image Compression Using Masked Sparse Visual Representation** Jiang, Wei and Wang, Wei and Chen, Yue [paper](https://arxiv.org/pdf/2309.11661.pdf) 283 | 284 | 285 | - (PCS 2024) **CoCliCo: Extremely low bitrate image compression based on CLIP semantic and tiny color map** Bachard, Tom and Bordin, Tom and Maugey, Thomas [paper](https://inria.hal.science/hal-04478601/file/PCS_2024-2-1.pdf) 286 | - (IEVC 2024) **The Effect of Edge Information in Stable Diffusion Applied to Image Coding** Watanabe, Hiroshi and Chujoh, Takeshi and Fan, Zheming and Jin, Luoxu and Yasugi, Yukinobu and Ikai, Tomohiro and Hayami, Taiga and Hong, Sujun [paper](https://www.ams.giti.waseda.ac.jp/data/pdf-files/2024IEVC_LBP-15.pdf) 287 | 288 | - (SPL 2024) **Enhancing High-Resolution Image Compression Through Local-Global Joint Attention Mechanism**Jiang, Zeyu and Liu, Xiaohong and Li, Aini and Wang, Guangyu[paper](https://ieeexplore.ieee.org/abstract/document/10487886) 289 | 290 | 291 | - (SPL 2024) **Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained Loss**Guerin, Nilson D and da Silva, Renam Castro and Macchiavello, Bruno[paper](https://ieeexplore.ieee.org/abstract/document/10487041?casa_token=knUB41_TmBsAAAAA:a-OvI58YlhHCqICs5ondcAnowi-IGX2nx0TgWqjjp_VfILwGajk6aEbDfqpUAqvF6--XxzsqGQ) 292 | 293 | 294 | - (ICASSP 2024) **Fine color guidance in diffusion models and its application to image compression at extremely low bitrates**Bordin, Tom and Maugey, Thomas[paper](https://ieeexplore.ieee.org/document/10445837) 295 | 296 | 297 | 298 | - (Arxiv 2024) **On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks**Wu, Chenhao and Wu, Qingbo and Wei, Haoran and Chen, Shuai and Wang, Lei and Ngan, King Ngi and Meng, Fanman and Li, Hongliang[paper](https://arxiv.org/pdf/2405.07717) 299 | - (Arxiv 2024) **Scalable Image Coding for Humans and Machines Using Feature Fusion Network**Li, Junhui and Hou, Xingsong[paper](https://arxiv.org/pdf/2405.09152) 300 | - (Arxiv 2024) **Towards Task-Compatible Compressible Representations** de Andrade, Anderson and Baji{\'c}, Ivan[paper](https://arxiv.org/pdf/2405.10244) 301 | - (Arxiv 2024) **Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network** Li, Junhui and Hou, Xingsong[paper](https://arxiv.org/pdf/2405.10518) 302 | - (Arxiv 2024) **NLIC: Non-uniform Quantization based Learned Image Compression** Ge, Ziqing and Ma, Siwei and Gao, Wen and Pan, Jingshan and Jia, Chuanmin[paper](https://ieeexplore.ieee.org/abstract/document/10531761) 303 | 304 | 305 | 306 | - (Arxiv 2024) **Domain Adaptation for Learned Image Compression with Supervised Adapters**Presta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco[paper](https://arxiv.org/pdf/2404.15591) 307 | 308 | - (Arxiv 2024) **2D Gaussian Splatting for Image Compression**Pingping Zhang, Xiangrui Liu, Meng Wang, Shiqi Wang, Sam Kwong[paper](https://github.com/ppingzhang/2DGS_ImageCompression/blob/main/2DGS_APSIPA.pdf) 309 | 310 | - (Arxiv 2024) **Domain Adaptation for Learned Image Compression with Supervised Adapters**Presta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco[paper](https://arxiv.org/pdf/2404.15591) 311 | 312 | - (Arxiv 2024) **Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior**Li, Zhiyuan and Zhou, Yanhui and Wei, Hao and Ge, Chenyang and Jiang, Jingwen[paper](https://arxiv.org/pdf/2404.18820) 313 | 314 | - (Arxiv 2024) **S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context**Wang, Yongqiang and Liang, Feng and Liang, Jie and Fu, Haisheng[paper](https://arxiv.org/pdf/2403.14471.pdf) 315 | 316 | - (Arxiv 2024) **Lossy Image Compression with Foundation Diffusion Models**WRelic, Lucas and Azevedo, Roberto and Gross, Markus and Schroers, Christopher[paper](https://arxiv.org/pdf/2404.08580.pdf) 317 | 318 | - (Arxiv 2024) **Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder**Ma, Yiyang and Yang, Wenhan and Liu, Jiaying[paper](https://arxiv.org/html/2404.04916v1) 319 | - (Arxiv 2024) **Fine color guidance in diffusion models and its application to image compression at extremely low bitrates**Bordin, Tom and Maugey, Thomas[paper](https://arxiv.org/pdf/2404.06865.pdf) 320 | 321 | 322 | - (Arxiv 2024) **Human-Machine Collaborative Image Compression Method Based on Implicit Neural Representations**Li, Huanyang and Zhang, Xinfeng[paper](https://arxiv.org/pdf/2112.04267.pdf) 323 | 324 | - (Arxiv 2024) **CGenerative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual**Kong, Yuzhuo and Lu, Ming and Ma, Zhan[paper](https://ieeexplore.ieee.org/document/10493033?denied=) 325 | 326 | 327 | - (Arxiv 2024) **Image and Video Compression using Generative Sparse Representation with Fidelity Controls**Jiang, Wei and Wang, Wei[paper](https://arxiv.org/pdf/2404.06076.pdf) 328 | 329 | 330 | - (Arxiv 2024) **Content-aware Masked Image Modeling Transformer for Stereo Image Compression**Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Jun[paper](https://arxiv.org/pdf/2403.08505v1.pdf) 331 | 332 | - (Arxiv 2024) **Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization**Luo, Jixiang and Wang, Yan and Qin, Hongwei[paper](https://arxiv.org/pdf/2403.13030.pdf) 333 | 334 | - (Arxiv 2024) **Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs**Zhang, Yichi and Duan, Zhihao and Huang, Yuning and Zhu, Fengqing[paper](https://arxiv.org/pdf/2403.18535v1.pdf) 335 | 336 | - (Arxiv 2024) **Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer**Xue, Naifu and Mao, Qi and Wang, Zijian and Zhang, Yuan and Ma, Siwei[paper](https://arxiv.org/pdf/2403.03736.pdf) 337 | - (Arxiv 2024) **Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders**Mari, Daniele and Milani, Simone[paper](https://arxiv.org/pdf/2403.02887v1.pdf) 338 | 339 | - (Arxiv 2024) **Channel-wise Feature Decorrelation for Enhanced Learned Image Compression**Pakdaman, Farhad and Gabbouj, Moncef[paper](https://arxiv.org/pdf/2403.10936.pdf) 340 | - (Arxiv 2024) **Overfitted image coding at reduced complexity**Blard, Th{\'e}ophile and Ladune, Th{\'e}o and Philippe, Pierrick and Clare, Gordon and Jiang, Xiaoran and D{\'e}forges, Olivier[paper](https://arxiv.org/pdf/2403.11651v1.pdf) 341 | - (Arxiv 2024) **Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity** Lee, Hagyeong and Kim, Minkyu and Kim, Jun-Hyuk and Kim, Seungeon and Oh, Dokwan and Lee, Jaeho[paper](https://arxiv.org/pdf/2403.02944.pdf) 342 | - (Arxiv 2024) **Transformer-based Learned Image Compression for Joint Decoding and Denoising** Chen, Yi-Hsin and Ho, Kuan-Wei and Tsai, Shiau-Rung and Lin, Guan-Hsun and Gnutti, Alessandro and Peng, Wen-Hsiao and Leonardi, Riccardo[paper](https://arxiv.org/pdf/2402.12888v1.pdf) 343 | - (Arxiv 2024) **Channel-wise Feature Decorrelation for Enhanced Learned Image Compression** Pakdaman, Farhad and Gabbouj, Moncef[paper](https://arxiv.org/ftp/arxiv/papers/2403/2403.10936.pdf) 344 | - (Arxiv 2024) **Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization** Luo, Jixiang and Wang, Yan and Qin, Hongwei[paper](https://arxiv.org/pdf/2403.13030.pdf) 345 | - (Arxiv 2024) **S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context** Wang, Yongqiang and Liang, Feng and Liang, Jie and Fu, Haisheng[paper](https://arxiv.org/pdf/2403.14471.pdf) 346 | - (Arxiv 2024) **Content-aware Masked Image Modeling Transformer for Stereo Image Compression** Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Jun[paper](https://arxiv.org/pdf/2403.08505v1.pdf) 347 | 348 | - (Arxiv 2024) **Probing Image Compression For Class-Incremental Learning** Yang, Justin and Duan, Zhihao and Peng, Andrew and Huang, Yuning and He, Jiangpeng and Zhu, Fengqing[paper](https://arxiv.org/pdf/2403.06288.pdf) 349 | - (Arxiv 2024) **Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets** Kamisli, Fatih and Racape, Fabien and Choi, Hyomin [paper](https://arxiv.org/pdf/2402.18930v1.pdf) 350 | - (Arxiv 2024) **Channel-wise Feature Decorrelation for Enhanced Learned Image Compression** Pakdaman, Farhad and Gabbouj, Moncef [paper](https://arxiv.org/ftp/arxiv/papers/2403/2403.10936.pdf) 351 | - (Arxiv 2024) **Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression** Li, Xinyue and Naman, Aous and Taubman, David [paper](https://arxiv.org/pdf/2402.18761v1.pdf) 352 | - (Arxiv 2024) **Powerful Lossy Compression for Noisy Images** Cai, Shilv and Liang, Xiaoguo and Cao, Shuning and Yan, Luxin and Zhong, Sheng and Chen, Liqun and Zou, Xu [paper](https://arxiv.org/pdf/2403.14135v1.pdf) 353 | - (Arxiv 2024) **Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression** Zhi, Cao and Youneng, Bao and Fanyang, Meng and Chao, Li and Wen, Tan and Genhong, Wang and Yongsheng, Liang [paper](https://arxiv.org/pdf/2403.06700v1.pdf) 354 | 355 | - (Arxiv 2024) **Image Coding for Machines with Edge Information Learning Using Segment Anything** Shindo, Takahiro and Yamada, Kein and Watanabe, Taiju and Watanabe, Hiroshi [paper](https://arxiv.org/pdf/2403.04173v1.pdf) 356 | - (Arxiv 2024) **Resilience of Entropy Model in Distributed Neural Networks** Zhang, Milin and Abdi, Mohammad and Rifat, Shahriar and Restuccia, Francesco[paper](https://arxiv.org/pdf/2403.00942v1.pdf) 357 | - (Arxiv 2024) **Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer** Xue, Naifu and Mao, Qi and Wang, Zijian and Zhang, Yuan and Ma, Siwei[paper](https://arxiv.org/pdf/2403.03736.pdf) 358 | - (Arxiv 2024) **Content-aware Masked Image Modeling Transformer for Stereo Image Compression** Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Jun[paper](https://arxiv.org/pdf/2403.08505v1.pdf) 359 | - (Arxiv 2024) **GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting** Zhang, Xinjie and Ge, Xingtong and Xu, Tongda and He, Dailan and Wang, Yan and Qin, Hongwei and Lu, Guo and Geng, Jing and Zhang, Jun[paper](https://arxiv.org/pdf/2403.08551v1.pdf) 360 | - (Arxiv 2024) **Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding** Dong, Cunhui and Ma, Haichuan and Zhang, Haotian and Gao, Changsheng and Li, Li and Liu, Dong[paper](https://arxiv.org/pdf/2403.05937v1.pdf) 361 | - (Arxiv 2024) **Region-Adaptive Transform with Segmentation Prior for Image Compression** Liu, Yuxi and Yang, Wenhan and Bai, Huihui and Wei, Yunchao and Zhao, Yao[paper](https://arxiv.org/pdf/2403.00628.pdf) 362 | 363 | - (Arxiv 2024) **LEARNED IMAGE COMPRESSION WITH TEXT QUALITY ENHANCEMENT** Lai, Chih-Yu and Tran, Dung and Koishida, Kazuhito[paper](https://arxiv.org/pdf/2402.08643.pdf) 364 | - (Arxiv 2024) **Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets** Kamisli, Fatih and Racape, Fabien and Choi, Hyomin[paper](https://arxiv.org/pdf/2402.18930v1.pdf) 365 | - (Arxiv 2024) **End-to-End Optimized Image Compression with the Frequency-Oriented Transform** Zhang, Yuefeng and Lin, Kai [paper](https://arxiv.org/pdf/2401.08194.pdf) 366 | - (Arxiv 2024) **Learned Image Compression with ROI-Weighted Distortion and Bit Allocation** Jiang, Wei and Zhai, Yongqi and Li, Hangyu and Wang, Ronggang [paper](https://arxiv.org/pdf/2401.08154.pdf) 367 | - (Arxiv 2024) **Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression** Li, Daxin and Bai, Yuanchao and Wang, Kai and Jiang, Junjun and Liu, Xianming [paper](https://arxiv.org/pdf/2401.14007.pdf) 368 | - (Arxiv 2024) **FLLIC: Functionally Lossless Image Compression** Zhang, Xi and Wu, Xiaolin [paper](https://arxiv.org/pdf/2401.13616.pdf) 369 | - (Arxiv 2024) **Fast Implicit Neural Representation Image Codec in Resource-limited Devices** Liu, Xiang and Chen, Jiahong and Chen, Bin and Liu, Zimo and An, Baoyi and Xia, Shu-Tao [paper](https://arxiv.org/pdf/2401.12587.pdf) 370 | - (Arxiv 2024) **Robustly overfitting latents for flexible neural image compression** Perugachi-Diaz, Yura and Gansekoele, Arwin and Bhulai, Sandjai [paper](https://arxiv.org/pdf/2401.17789.pdf) 371 | - (Arxiv 2024) **Saliency-aware End-to-end Learned Variable-Bitrate 360-degree Image Compression** Gungordu, Oguzhan and Tekalp, A Murat [paper](https://arxiv.org/pdf/2402.08862.pdf) 372 | - (Arxiv 2024) **Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs** Xie, Yuxin and Yu, Li and Pakdaman, Farhad and Gabbouj, Moncef[paper](https://arxiv.org/pdf/2402.05582.pdf) 373 | - (Arxiv 2024) **LEARNED COMPRESSION OF ENCODING DISTRIBUTIONS** Ulhaq, Mateen and Bajic, Ivan V[paper](https://www.sfu.ca/~mulhaq/assets/pdf/2024-icip-learned-compression-of-encoding-distributions.pdf) 374 | - (Arxiv 2024) **Transformer-based Learned Image Compression for Joint Decoding and Denoising** Chen, Yi-Hsin and Ho, Kuan-Wei and Tsai, Shiau-Rung and Lin, Guan-Hsun and Gnutti, Alessandro and Peng, Wen-Hsiao and Leonardi, Riccardo[paper](https://arxiv.org/pdf/2402.12888v1.pdf) 375 | 376 | - (VICP 2024) **Flexible Coding Order for Learned Image Compression** Li, Yuqi and Zhang, Haotian and Liu, Dong [paper](https://ieeexplore.ieee.org/abstract/document/10402631) 377 | - (VICP 2024) **Variable-rate Learned Image Compression with Adaptive Quantization Step Size** Mei, Feihong and Li, Li and Liu, Dong [paper](https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=10402767&ref=) 378 | - (VICP 2024) **Learned Progressive Image Compression With Spatial Autoregression** Li, Hangyu and Jiang, Wei and Li, Litian and Zhai, Yongqi and Wang, Ronggang [paper](https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=10402651&ref=) 379 | - (VICP 2024) **Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner** Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu, Cewu and Hu, Weisheng and Zhang, Lin and Du, Junfeng and Xiong, Hongkai [paper](https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=10402791&ref=) 380 | - (VICP 2024) **Learned Progressive Image Compression With Spatial Autoregression** Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu, Cewu and Hu, Weisheng and Zhang, Lin and Du, Junfeng and Xiong, Hongkai [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10402767) 381 | 382 | 383 | --- 384 | --- 385 | ## ✔2023 [ «🎯Back To Top» ](#) 386 | 387 | - (NeurIPS 2023) **Towards efficient image compression without autoregressive models** Ali, Muhammad Salman and Kim, Yeongwoong and Qamar, Maryam and Lim, Sung-Chang and Kim, Donghyun and Zhang, Chaoning and Bae, Sung-Ho and Kim, Hui Yong [paper](https://openreview.net/pdf?id=1ihGy9vAIg) 388 | - (NeurIPS 2023) **LUT-LIC: Look-Up Table-Assisted Learned Image Compression** Yu, SeungEun and Lee, Jong-Seok[paper](https://link.springer.com/chapter/10.1007/978-981-99-8148-9_34) 389 | 390 | - (ACMMM 2023) **Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach** Guo, Sha and Chen, Zhuo and Zhao, Yang and Zhang, Ning and Li, Xiaotong and Duan, Lingyu [paper](https://dl.acm.org/doi/pdf/10.1145/3581783.3611851?casa_token=mNmCMwSt2NcAAAAA:pYJtS3-8nkQdv-d0hp5N3OptJqtnjFcfBNOohVR0SqCbdP9mF4tFuAZEN5_WiTkVaxttfYUdfyqJHw) 391 | - (ACMMM 2023) **Nif: A fast implicit image compression with bottleneck layers and modulated sinusoidal activations** Catania, Lorenzo and Allegra, Dario [paper](https://dl.acm.org/doi/pdf/10.1145/3581783.3613834) 392 | - (ACMMM 2023) **Lambda-Domain Rate Control for Neural Image Compression** Xue, Naifu and Zhang, Yuan [paper](https://dl.acm.org/doi/pdf/10.1145/3595916.3626372?casa_token=ZQoUWGi2J6UAAAAA:3NWoCPBC-hhmWmMgcu3uPf_UFg0eSN3fLoeBi_8S0GKRJaW78mnXjkxBesKBwfe30nzHI0PEXGfAVQ) 393 | - (ACMMM 2023) **MLIC: Multi-Reference Entropy Model for Learned Image Compression** Jiang, Wei and Yang, Jiayu and Zhai, Yongqi and Ning, Peirong and Gao, Feng and Wang, Ronggang [paper](https://dl.acm.org/doi/pdf/10.1145/3581783.3611694) 394 | - (ACMMM 2023) **ELFIC: A Learning-based Flexible Image Codec with Rate-Distortion-Complexity Optimization** Zhang, Zhichen and Chen, Bolin and Lin, Hongbin and Lin, Jielian and Wang, Xu and Zhao, Tiesong [paper](https://dl.acm.org/doi/pdf/10.1145/3581783.3612540) 395 | - (ACMMM 2023) **ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision** Liu, Lei and Hu, Zhihao and Chen, Zhenghao and Xu, Dong [paper](https://dl.acm.org/doi/pdf/10.1145/3581783.3612041?casa_token=S1tEOBghRlUAAAAA:3QJByYZssGAMLB6Yloy9eCwEEkI7RrZQ_kuaJfIjBCaWH45RJomJC4uQN1StEi_UplaboXcyaEASvA) 396 | - (TIP 2023) **Learned Image Compression Using Cross-Component Attention Mechanism** Duan, Wenhong and Chang, Zheng and Jia, Chuanmin and Wang, Shanshe and Ma, Siwei and Song, Li and Gao, Wen [paper](https://ieeexplore.ieee.org/document/10268865/) 397 | - (TIP 2023) **Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision** Mao, Qi and Wang, Chongyu and Wang, Meng and Wang, Shiqi and Chen, Ruijie and Jin, Libiao and Ma, Siwei [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10372532&casa_token=tefNsn9cqyIAAAAA:iNI1vVcH9m8rW3GLAj-yB_6FC_eiNBGUUiIzVaAlYC7JHRxGElmSd1MdVYHKD0P-9FtPMq5aEw) 398 | 399 | - (CVPR 2023) **Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression** Shen, Sheng and Yue, Huanjing and Yang, Jingyu [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Shen_Dec-Adapter_Exploring_Efficient_Decoder-Side_Adapter_for_Bridging_Screen_Content_and_ICCV_2023_paper.pdf) 400 | - (CVPR 2023) **Context-Based Trit-Plane Coding for Progressive Image Compression** Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su [paper](https://arxiv.org/pdf/2303.05715.pdf) 401 | 402 | - (CVPR 2023) **Transtic: Transferring transformer-based image compression from human perception to machine perception** Chen, Yi-Hsin and Weng, Ying-Chieh and Kao, Chia-Hao and Chien, Cheng and Chiu, Wei-Chen and Peng, Wen-Hsiao [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Chen_TransTIC_Transferring_Transformer-based_Image_Compression_from_Human_Perception_to_Machine_ICCV_2023_paper.pdf) 403 | 404 | - (TAI 2023) **Manipulation Attacks on Learned Image Compression** Liu, Kang and Wu, Di and Wu, Yangyu and Wang, Yiru and Feng, Dan and Tan, Benjamin and Garg, Siddharth[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10352982&casa_token=7J9wZTEfvZUAAAAA:A4rT0GYrKkWQ8h1hhnQxyazt_2kunYTDE1vn73nQD5RDms-6eoJ_ZUppgHNr3WTBk143oCWW6Q) 405 | 406 | - (ICIP 2023) **A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression** Hu, Yuting and Tan, Wen and Meng, Fanyang and Liang, Yongsheng[paper](https://ieeexplore.ieee.org/abstract/document/10222366) 407 | 408 | - (ICIP 2023) **NUCQ: Non-Uniform Conditional Quantization for Learned Image Compression** Ge, Ziqing and Jia, Chuanmin and Ma, Siwei and Gao, We[paper](https://ieeexplore.ieee.org/abstract/document/10222198) 409 | - (ICIP 2023) **End-to-End Learning-based Image Compression with A Decoupled Framework** Zhang, Zhaobin and Esenlik, Semih and Wu, Yaojun and Wang, Meng and Zhang, Kai and Zhang, Li[paper](https://ieeexplore.ieee.org/abstract/document/10247017/metrics#metrics) 410 | 411 | - (ICIP 2023) **Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression** Minnen, David and Johnston, Nick[paper](https://ieeexplore.ieee.org/abstract/document/10222381) 412 | - (ICIP 2023) **Efficient Pruning Method for Learned Lossy Image Compression Models Based on Side Information** LChen, Weixuan and Yang, Qianqian[paper](https://ieeexplore.ieee.org/abstract/document/10222822) 413 | - (ICIP 2023) **Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression** Li, Shujia and Wang, Dezhao and Fan, Zejia and Liu, Jiaying[paper](https://ieeexplore.ieee.org/abstract/document/10222067) 414 | - (ICIP 2023) **Edge-Guided Remote-Sensing Image Compression** Han, Pengfei and Zhao, Bin and Li, Xuelong [paper](https://ieeexplore.ieee.org/abstract/document/10247080) 415 | - (ICIP 2023) **Learned Image Compression Guided Adaptive Quantization for Perceptual Quality** Chen, Cheng and Geng, Ruiqi and Li, Bohan and Ustarroz-Calonge, Maryla and Galligan, Frank and Han, Jingning and Xu, Yaowu [paper](https://ieeexplore.ieee.org/abstract/document/10222637) 416 | - (ICIP 2023) **Unified Learning-Based Lossy and Lossless Jpeg Recompression** J. Zhang et al. [paper](https://ieeexplore.ieee.org/abstract/document/10222354) 417 | - (ICIP 2023) **ULcompress: A Unified low bit-rate image Compression Framework via Invertible Image Representation** F. Gao, X. Deng, C. Gao and M. Xu [paper](https://ieeexplore.ieee.org/abstract/document/10222242) 418 | - (ICIP 2023) **Learned Image Compression with Multi-Scan Based Channel Fusion** Y. Li, W. Zhou, P. Lu and S. -i. Kamata, [paper](https://ieeexplore.ieee.org/abstract/document/10222127) 419 | - (ICIP 2023) **Integer Quantized Learned Image Compression** G. -W. Jeon, S. Yu and J. -S. Lee [paper](https://ieeexplore.ieee.org/document/10222336) 420 | - (ICIP 2023) **A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression** Hu, Yuting and Tan, Wen and Meng, Fanyang and Liang, Yongsheng [paper](https://ieeexplore.ieee.org/abstract/document/10222381) 421 | - (ICIP 2023) **Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation** Meng, Xiandong and Zhu, Shuyuan and Ma, Siwei and Zeng, Bing [paper](https://ieeexplore.ieee.org/document/10222366) 422 | - (ICIP 2023) **An Improved Upper Bound on the Rate-Distortion Function of Images** Duan, Zhihao and Ma, Jack and He, Jiangpeng and Zhu, Fengqing[paper](https://arxiv.org/pdf/2309.02574.pdf) 423 | - (ICIP 2023) **AICT: An Adaptive Image Compression Transformer** Ghorbel, Ahmed and Hamidouche, Wassim and Morin, Luce[paper](https://arxiv.org/pdf/2307.06091.pdf) 424 | - (WACV 2023) **Neural Distributed Image Compression with Cross-Attention Feature Alignment** Mital, Nitish and {\"O}zyilkan, Ezgi and Garjani, Ali and G{\"u}nd{\"u}z, Deniz[paper](https://openaccess.thecvf.com/content/WACV2023/papers/Mital_Neural_Distributed_Image_Compression_With_Cross-Attention_Feature_Alignment_WACV_2023_paper.pdf) 425 | 426 | 427 | - (VCIP 2023) **Image Data Hiding in Neural Compressed Latent Representations** Huang, Chen-Hsiu and Wu, Ja-Ling[paper](https://ieeexplore.ieee.org/document/10402627) 428 | - (VICP 2023) **EVC: TOWARDS REAL-TIME NEURAL IMAGE COMPRESSION WITH MASK DECA** Wang, Guo-Hua and Li, Jiahao and Li, Bin and Lu, Yan [paper](https://arxiv.org/pdf/2302.05071.pdf) 429 | - (VICP 2023) **A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference** Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10402704&casa_token=SpFz9g7TeT8AAAAA:GNVUj1Qv03LvWGp3bF9iyCSr_-ZLx6-HNZM4vxYXFqs_yTFitBKet3htVPIc1LR4uKboCvnL) 430 | 431 | 432 | - (ICASSP 2023) **A Novel Cross-Component Context Model for End-to-End Wavelet Image Coding** Meyer, Anna and Kaup, Andr{\'e} [paper](https://arxiv.org/pdf/2303.05121.pdf) 433 | 434 | - (TCSVT 2024) **Lightweight Context Model Equipped aiWave in Response to the AVS Call for Evidence on Volumetric Medical Image Coding** Xue, Dongmei and Li, Li and Liu, Dong and Li, Houqiang [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10453226) 435 | - (TCSVT 2023) **MASIC: Deep Mask Stereo Image Compression** Deng, Xin and Deng, Yufan and Yang, Ren and Yang, Wenzhe and Timofte, Radu and Xu, Mai [paper](https://scholar.google.com/scholar_url?url=https://ieeexplore.ieee.org/iel7/76/4358651/10061473.pdf%3Fcasa_token%3DyxaR8FAUmccAAAAA:NZVDcw8yyjkyl1jR53FSSfUBKSAUxSgFwjNl6n3E3gjtklYQ7e6KLBD0sY9rtdPDj3cMxRyjb3w&hl=zh-CN&sa=T&oi=ucasa&ct=ucasa&ei=C7HBZbBn6NLL1g_hqbWgCw&scisig=AFWwaeauyyBtBEhlO7xzS3SgL_l_) 436 | - (TCSVT 2023) **Extremely Low Bit-rate Image Compression via Invertible Image Generation** Gao, Fangyuan and Deng, Xin and Jing, Junpeng and Zou, Xin and Xu, Mai [paper](https://ieeexplore.ieee.org/document/10256132) 437 | - (TCSVT 2023) **Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks** Yang, Mingyi and Yang, Fei and Murn, Luka and Blanch, Marc Gorriz and Sock, Juil and Wan, Shuai and Yang, Fuzheng and Herranz, Luis [paper](https://ieeexplore.ieee.org/document/10256132) 438 | - (TCSVT 2023) **Rethinking semantic image compression: Scalable representation with cross-modality transfer** Zhang, Pingping and Wang, Shiqi and Wang, Meng and Li, Jiguo and Wang, Xu and Kwong, Sam [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10032603&casa_token=jUWiQNkyzn4AAAAA:sB3n5iqEj4xbTgiOrrXxsI5lbXizq0V9wxvkaZ71ik2nPah0yHZ8WzHwbkrp-URvTMuHukK3&tag=1) 439 | - (TCSVT 2023) **Facial Image Compression via Neural Image Manifold Compression** Yang, Wenhan and Huang, Haofeng and Liu, Jiaying and Kot, Alex C. [paper](https://ieeexplore.ieee.org/abstract/document/10122667) 440 | - (TCSVT 2023) **Sketch Assisted Face Image Coding for Human and Machine Vision: a Joint Training Approach.** Fang, Xin and Duan, Yiping and Du, Qiyuan and Tao, Xiaoming and Li, Fan [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10082973&casa_token=bXnEBK4JjLcAAAAA:JO0euK8CEhYZUGE70J9G-3WUZVOVeh5DkXdHQRnWQCSrgg4ybixUxy1J0tFCcYyZWvvggncp) 441 | 442 | - (ICCV 2023) **COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability** Park, Jongmin and Lee, Jooyoung and Kim, Munchurl [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Park_COMPASS_High-Efficiency_Deep_Image_Compression_with_Arbitrary-scale_Spatial_Scalability_ICCV_2023_paper.pdf) 443 | - (ICCV 2023) **AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing** Tao, Lvfang and Gao, Wei and Li, Ge and Zhang, Chenhao [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Tao_AdaNIC_Towards_Practical_Neural_Image_Compression_via_Dynamic_Transform_Routing_ICCV_2023_paper.pdf) 444 | - (WCACV 2023) **Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model** Iwai, Shoma and Miyazaki, Tomo and Omachi, Shinichiro [paper](https://openaccess.thecvf.com/content/WACV2024/papers/Iwai_Controlling_Rate_Distortion_and_Realism_Towards_a_Single_Comprehensive_Neural_WACV_2024_paper.pdf) 445 | 446 | 447 | - (Arxiv 2023) **EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation** K{\"o}rber, Nikolai and Kromer, Eduard and Siebert, Andreas and Hauke, Sascha and Mueller-Gritschneder, Daniel [paper](https://arxiv.org/pdf/2309.03244.pdf) 448 | - (Arxiv 2023) **A Training-Free Defense Framework for Robust Learned Image Compression** Song, Myungseo and Choi, Jinyoung and Han, Bohyung [paper](https://arxiv.org/pdf/2401.11902.pdf) 449 | - (Arxiv 2023) **FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information**Xia, Yichong and Huang, Yujun and Chen, Bin and Wang, Haoqian and Wang, Yaowei[paper](https://arxiv.org/pdf/2312.16963.pdf) 450 | - (Arxiv 2023) **Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding**Zhang, Yichi and Duan, Zhihao and Lu, Ming and Ding, Dandan and Zhu, Fengqing and Ma, Zhan[paper](https://arxiv.org/pdf/2401.11615.pdf) 451 | - (Arxiv 2023) **Attack and Defense Analysis of Learned Image Compression**Zhu, Tianyu and Sun, Heming and Xiong, Xiankui and Zhu, Xuanpeng and Gong, Yong and Fan, Yibo and others[paper](https://arxiv.org/pdf/2401.10345.pdf) 452 | 453 | - (Arxiv 2023) **Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation** Fu, Haisheng and Liang, Feng and Liang, Jie and Wang, Yongqiang and Zhang, Guohe and Han, Jingning [paper](https://arxiv.org/pdf/2309.02529.pdf) 454 | - (Arxiv 2023) **Multi-Context Dual Hyper-Prior Neural Image Compression** Khoshkhahtinat, Atefeh and Zafari, Ali and Mehta, Piyush M and Akyash, Mohammad and Kashiani, Hossein and Nasrabadi, Nasser M [paper](https://arxiv.org/pdf/2309.10799.pdf) 455 | 456 | - (Arxiv 2023) **On Uniform Scalar Quantization for Learned Image Compression** Zhang, Haotian and Li, Li and Liu, Dong[paper](https://arxiv.org/pdf/2309.17051.pdf) 457 | 458 | - (Arxiv 2023) **Frequency-Aware Transformer for Learned Image Compression** Li, Han and Li, Shaohui and Dai, Wenrui and Li, Chenglin and Zou, Junni and Xiong, Hongkai[paper](https://arxiv.org/pdf/2310.16387.pdf) 459 | 460 | - (Arxiv 2023) **Perceptual Image Compression with Cooperative Cross-Modal Side Information** Qin, Shiyu and Chen, Bin and Huang, Yujun and An, Baoyi and Dai, Tao and Via, Shu-Tao[paper](https://arxiv.org/pdf/2311.13847.pdf) 461 | - (Arxiv 2023) **Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression** Qin, Shiyu and Zhou, Yimin and Wang, Jinpeng and Chen, Bin and An, Baoyi and Dai, Tao and Xia, Shu-Tao[paper](https://arxiv.org/pdf/2311.17350.pdf) 462 | 463 | - (Arxiv 2023) **Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression** Gao, Yixin and Feng, Runsen and Guo, Zongyu and Chen, Zhibo[paper](https://arxiv.org/pdf/2305.07678.pdf) 464 | 465 | - (JVCIR 2023) **Corner-to-Center long-range context model for efficient learned image compression** LSui, Yang and Ding, Ding and Pan, Xiang and Xu, Xiaozhong and Liu, Shan and Yuan, Bo and Chen, Zhenzhong[paper](https://arxiv.org/pdf/2311.18103.pdf) 466 | - (VICP 2023) **A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference** Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10402704&casa_token=SpFz9g7TeT8AAAAA:GNVUj1Qv03LvWGp3bF9iyCSr_-ZLx6-HNZM4vxYXFqs_yTFitBKet3htVPIc1LR4uKboCvnL) 467 | 468 | - (TMI 2023) **A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference** Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10402704&casa_token=SpFz9g7TeT8AAAAA:GNVUj1Qv03LvWGp3bF9iyCSr_-ZLx6-HNZM4vxYXFqs_yTFitBKet3htVPIc1LR4uKboCvnL) 469 | 470 | 471 | ## ✔2022 [ «🎯Back To Top» ](#) 472 | 473 | - (PCS 2022) **Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression** Balcilar, Muhammet and Damodaran, Bharath and Hellier, Pierre [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10018064&casa_token=T3OEyA4gC_UAAAAA:hV74ZEkQEKKE940LsRyDFRFIhIQcATSnQKZsc8mTr2UTT6jLIMAyBijHG1pTfFJG-8VxRRn7XuA) e 474 | 475 | - (CVPR workshop 2022) **Self-Supervised Variable Rate Image Compression using Visual Attention** Sinha, Abhishek Kumar and Moorthi, S Manthira and Dhar, Debajyoti[paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Sinha_Self-Supervised_Variable_Rate_Image_Compression_Using_Visual_Attention_CVPRW_2022_paper.pdf) 476 | 477 | - (CVPR workshop 2022) **RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth** Brand, Fabian and Fischer, Kristian and Kopte, Alexander and Windsheimer, Marc and Kaup, Andr{\'e} [paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Brand_RDONet_Rate-Distortion_Optimized_Learned_Image_Compression_With_Variable_Depth_CVPRW_2022_paper.pdf) 478 | 479 | - (Arxiv 2022) **Transformations in Learned Image Compression from Modulation Perspective** Bao, Youneng and Meng, Fangyang and Tan, Wen and Li, Chao and Tian, Yonghong and Liang, Yongsheng [paper](https://arxiv.org/pdf/2203.02158.pdf) 480 | 481 | - (Arxiv 2022) **Flexible Neural Image Compression via Code Editing** Gao, Chenjian and Xu, Tongda and He, Dailan and Qin, Hongwei and Wang, Yan [paper](https://arxiv.org/pdf/2209.09244.pdf) 482 | 483 | - (Arxiv 2022) **Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory** Zafari, Ali and Khoshkhahtinat, Atefeh and Mehta, Piyush M and Nasrabadi, Nasser M and Thompson, Barbara J and da Silva, Daniel and Kirk, Michael SF[paper](https://arxiv.org/pdf/2210.06478.pdf) 484 | 485 | - (Arxiv 2022) **Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction** Lei, Zhongyue and Duan, Peng and Hong, Xuemin and Mota, Jo{\~a}o FC and Shi, Jianghong and Wang, Cheng-Xiang [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9970515&casa_token=wr2tdLJpoSQAAAAA:yxNRSlqMzqo0libGY0kbkrP79VRTccC5BmKEzCC5ziY9shpizVudordovWx5BOFOgQSHC7dxrZs) 486 | 487 | 488 | - (CVPRW 2022) **Universal Deep Image Compression via Content-Adaptive Optimization with Adapters** Tsubota, Koki and Akutsu, Hiroaki and Aizawa, Kiyoharu [paper](https://openaccess.thecvf.com/content/WACV2023/papers/Tsubota_Universal_Deep_Image_Compression_via_Content-Adaptive_Optimization_With_Adapters_WACV_2023_paper.pdf) 489 | 490 | - (CVPRW 2022) **User-Guided Variable Rate Learned Image Compression** Gupta, Rushil and BV, Suryateja and Kapoor, Nikhil and Jaiswal, Rajat and Nangi, Sharmila Reddy and Kulkarni, Kuldeep[paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Gupta_User-Guided_Variable_Rate_Learned_Image_Compression_CVPRW_2022_paper.pdf) 491 | 492 | - (CVPRW 2022) **Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression** L{\"o}hdefink, Jonas and Sitzmann, Jonas and B{\"a}r, Andreas and Fingscheidt, Tim [paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Lohdefink_Adaptive_Bitrate_Quantization_Scheme_Without_Codebook_for_Learned_Image_Compression_CVPRW_2022_paper.pdf) 493 | 494 | - (TIP 2022) **OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression** Bidgoli, Navid Mahmoudian and Roberto, G de A and Maugey, Thomas and Roumy, Aline and Frossard, Pascal [paper](https://arxiv.org/pdf/2107.09179.pdf) 495 | 496 | - (AAAI 2022) **Two-Stage Octave Residual Network for End-to-End Image Compression** Chen, Fangdong and Xu, Yumeng and Wang, Li [paper](https://scholar.google.com/scholar?hl=zh-CN&as_sdt=0%2C5&q=Two-Stage+Octave+Residual+Network+for+End-to-End+Image+Compression&btnG=#:~:text=%E5%B9%B4%E4%BB%BD-,%5BPDF%5D%20aaai.org,-Two%2DStage%20Octave) 497 | 498 | - (Arxiv 2022) **Preprocessing Enhanced Image Compression for Machine Vision** Lu, Guo and Ge, Xingtong and Zhong, Tianxiong and Geng, Jing and Hu, Qiang [paper](https://arxiv.org/pdf/2206.05650.pdf) 499 | - (Arxiv 2022) **Learning-Driven Lossy Image Compression; A 500 | Comprehensive Survey** Jamil, Sonain and Piran, Md and others [paper](https://arxiv.org/pdf/2201.09240.pdf) 501 | 502 | - (Arxiv 2022) **Estimating the Resize Parameter in End-to-end Learned Image Compression** Chen, Li-Heng and Bampis, Christos G and Li, Zhi and Krasula, Luk{\'a}{\v{s}} and Bovik, Alan C [paper](https://arxiv.org/pdf/2204.12022.pdf) 503 | 504 | - (Arxiv 2022) **Image Compression with Product Quantized Masked Image Modeling** El-Nouby, Alaaeldin and Muckley, Matthew J and Ullrich, Karen and Laptev, Ivan and Verbeek, Jakob and J{\'e}gou, Herv{\'e} [paper](https://arxiv.org/pdf/2212.07372.pdf) 505 | 506 | - (ITJ 2022) **Human–Machine Interaction-Oriented Image Coding for Res8ource-Constrained Visual Monitoring in IoT** 507 | Wang, Zixi and Li, Fan and Xu, Jing and Cosman, Pamela C [paper]() 508 | 509 | - (TGRS 2022) **Towards simultaneous image compression and indexing for scalable content-based retrieval in remote sensing** Sumbul, Gencer and Xiang, Jun and Demir, Beg{\"u}m [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9878355) 510 | 511 | - (SPI 2022) **Rate-constrained learning-based image compression** [paper]() 512 | 513 | - (TIP 2022) **Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression** Chen, Zhenghao and Gu, Shuhang and Lu, Guo and Xu, Dong [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9694511&casa_token=_INFRj8nkRkAAAAA:_4VWc5Q56n7hHUi5xnIS3Yyno0YRwyVWQdEnU2XqmAV6Sv_XnG7SgBnO0DfYUnoLuNP-3iKOivk) lossless 514 | 515 | - (Arxiv 2022) **Entroformer: A transformer-based entropy model for learned image compression** Qian, Yichen and Lin, Ming and Sun, Xiuyu and Tan, Zhiyu and Jin, Rong [paper](https://arxiv.org/pdf/2202.05492.pdf) 516 | 517 | - (Arxiv 2022) **Multi-Sample Training for Neural Image Compression** Xu, Tongda and Wang, Yan and He, Dailan and Gao, Chenjian and Gao, Han and Liu, Kunzan and Qin, Hongwei [paper](https://arxiv.org/pdf/2209.13834.pdf) 518 | 519 | - (CVPR 2022) **ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding** He, Dailan and Yang, Ziming and Peng, Weikun and Ma, Rui and Qin, Hongwei and Wang, Yan [paper](https://openaccess.thecvf.com/content/CVPR2022/papers/He_ELIC_Efficient_Learned_Image_Compression_With_Unevenly_Grouped_Space-Channel_Contextual_CVPR_2022_paper.pdf) 520 | 521 | - (ECCV 2022) **Contextformer: A Transformer with 522 | Spatio-Channel Attention for Context Modeling 523 | in Learned Image Compression** Koyuncu, A Burakhan and Gao, Han and Boev, Atanas and Gaikov, Georgii and Alshina, Elena and Steinbach, Eckehard [paper](https://arxiv.org/pdf/2203.02452.pdf) 524 | 525 | 526 | - (ECCV 2022) **Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression** Koyuncu, A Burakhan and Gao, Han and Boev, Atanas and Gaikov, Georgii and Alshina, Elena and Steinbach, Eckehard [paper](https://link.springer.com/content/pdf/10.1007/978-3-031-19800-7_26.pdf) 527 | 528 | - (ECCV 2022) **Content-Oriented Learned Image 529 | Compression** Li, Meng and Gao, Shangyin and Feng, Yihui and Shi, Yibo and Wang, Jing [paper](https://link.springer.com/content/pdf/10.1007/978-3-031-19800-7_37.pdf) 530 | - (ECCV 2022) **Implicit Neural Representations 531 | for Image Compression** Str{\"u}mpler, Yannick and Postels, Janis and Yang, Ren and Gool, Luc Van and Tombari, Federico [paper](https://arxiv.org/pdf/2112.04267.pdf) 532 | 533 | - (ECCV 2022) **Content Adaptive Latents and Decoder for Neural Image Compression** Pan, Guanbo and Lu, Guo and Hu, Zhihao and Xu, Dong [paper](https://arxiv.org/pdf/2212.10132.pdf) 534 | 535 | - (ECCV 2022) **Optimizing Image Compression via Joint 536 | Learning with Denoising** Cheng, Ka Leong and Xie, Yueqi and Chen, Qifeng [paper](https://link.springer.com/content/pdf/10.1007/978-3-031-19800-7_4.pdf) denoising 537 | 538 | - (2022) **2C-Net: Integrate Image Compression and Classification via Deep Neural Network** Liu, Linfeng and Chen, Tong and Liu, Haojie and Pu, Shiliang and Wang, Li and Shen, Qiu [paper](https://assets.researchsquare.com/files/rs-2049607/v1_covered.pdf?c=1663278884) 539 | 540 | - (ACMMM 2022) **High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation** Cai, Shilv and Zhang, Zhijun and Chen, Liqun and Yan, Luxin and Zhong, Sheng and Zou, Xu [[paper](https://arxiv.org/pdf/2209.05054.pdf)] 541 | - (arxiv 2022) **Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression** Bai, Yuanchao and Liu, Xianming and Wang, Kai and Ji, Xiangyang and Wu, Xiaolin and Gao, Wen [[paper](https://arxiv.org/pdf/2209.04847.pdf)] 542 | 543 | 544 | - (TCSVT 2022) **End-to-End Optimized Image Compression With Deep Gaussian Process Regression** Cao, Maida and Dai, Wenrui and Li, Shaohui and Li, Chenglin and Zou, Junni and Chen, Ying and Xiong, Hongkai [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9903432)] 545 | - (TIP 2022) **End-to-end optimized 360° image compression** Li, Mu and Li, Jinxing and Gu, Shuhang and Wu, Feng and Zhang, David [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9904466)] 546 | 547 | - (arxiv 2022) **Lossy Compression with Gaussian Diffusion** Theis, Lucas and Salimans, Tim and Hoffman, Matthew D and Mentzer, Fabian [[paper](https://arxiv.org/pdf/2206.08889.pdf)] 548 | - (arxiv 2022) **Joint Image Compression and Denoising via Latent-Space Scalability** Alvar, Saeed Ranjbar and Ulhaq, Mateen and Choi, Hyomin and Baji{\'c}, Ivan V [[paper](https://arxiv.org/pdf/2205.01874.pdf)] 549 | - (arxiv 2022) **Post-Training Quantization for Cross-Platform Learned Image Compression** He, Dailan and Yang, Ziming and Chen, Yuan and Zhang, Qi and Qin, Hongwei and Wang, Yan [[paper](https://arxiv.org/pdf/2202.07513.pdf)] 550 | - (ICASSP 2022) **Satellite Image Compression and Denoising With Neural Networks** Yin, Shanzhi and Li, Chao and Bao, Youneng and Liang, Yongsheng and Meng, Fanyang and Liu, Wei [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9747854)] 551 | - (ICASSP 2022) **AdderIC: Towards Low Computation Cost Image Compression** Li, Bowen and Xin, Yao and Li, Chao and Bao, Youneng and Meng, Fanyang and Liang, Yongsheng [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9747652)] 552 | - (IEEE Geoscience and Remote Sensing Letters 2022) **Universal Efficient Variable-Rate Neural Image Compression** de Oliveira, Vinicius Alves and Chabert, Marie and Oberlin, Thomas and Poulliat, Charly and Bruno, Mickael and Latry, Christophe and Carlavan, Mikael and Henrot, Simon and Falzon, Frederic and Camarero, Roberto [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9690871)] 553 | 554 | - (CVPR 2022) **The Devil Is in the Details: Window-Based Attention for Image Compression** Zou, Renjie and Song, Chunfeng and Zhang, Zhaoxiang [paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zou_The_Devil_Is_in_the_Details_Window-Based_Attention_for_Image_CVPR_2022_paper.pdf) 555 | 556 | 557 | 558 | - (CVPR 2022) **Joint Global and Local Hierarchical Priors for Learned Image Compression**, Kim, Jun-Hyuk and Heo, Byeongho and Lee, Jong-Seok [[paper]](https://arxiv.org/pdf/2112.04487.pdf) (E) 559 | - (CVPR 2022) **RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding** Zhou, Xuanyu and Qi, Charles R and Zhou, Yin and Anguelov, Dragomir [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhou_RIDDLE_Lidar_Data_Compression_With_Range_Image_Deep_Delta_Encoding_CVPR_2022_paper.pdf)] 560 | - (CVPR 2022) **Neural Data-Dependent Transform for Learned Image Compression** Wang, Dezhao and Yang, Wenhan and Hu, Yueyu and Liu, Jiaying [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Neural_Data-Dependent_Transform_for_Learned_Image_Compression_CVPR_2022_paper.pdf)] 561 | - (CVPRW 2022) **Self-Supervised Variable Rate Image Compression using Visual Attention** Sinha, Abhishek Kumar and Moorthi, S Manthira and Dhar, Debajyoti [[paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Sinha_Self-Supervised_Variable_Rate_Image_Compression_Using_Visual_Attention_CVPRW_2022_paper.pdf)] 562 | - (CVPRW 2022) **User-Guided Variable Rate Learned Image Compression** Gupta, Rushil and BV, Suryateja and Kapoor, Nikhil and Jaiswal, Rajat and Nangi, Sharmila Reddy and Kulkarni, Kuldeep [[paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Gupta_User-Guided_Variable_Rate_Learned_Image_Compression_CVPRW_2022_paper.pdf)] 563 | - (CVPR 2022) **RDONet: Rate-Distortion Optimized Learned Image Compression With Variable Depth** Brand, Fabian and Fischer, Kristian and Kopte, Alexander and Windsheimer, Marc and Kaup, Andr{\'e}. [[paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/Brand_RDONet_Rate-Distortion_Optimized_Learned_Image_Compression_With_Variable_Depth_CVPRW_2022_paper.pdf)] 564 | - (CVPR 2022) **LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network** Rhee, Hochang and Jang, Yeong Il and Kim, Seyun and Cho, Nam Ik. [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Rhee_LC-FDNet_Learned_Lossless_Image_Compression_With_Frequency_Decomposition_Network_CVPR_2022_paper.pdf)] 565 | - (CVPR 2022) **PO-ELIC: Perception-Oriented Efficient Learned Image Coding** He, Dailan and Yang, Ziming and Yu, Hongjiu and Xu, Tongda and Luo, Jixiang and Chen, Yuan and Gao, Chenjian and Shi, Xinjie and Qin, Hongwei and Wang, Yan. [[paper](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/papers/He_PO-ELIC_Perception-Oriented_Efficient_Learned_Image_Coding_CVPRW_2022_paper.pdf)] 566 | - (CVPR 2022) **Online Meta Adaptation for Variable-Rate Learned Image Compression** Jiang, Wei and Wang, Wei and Li, Songnan and Liu, Shan. [[paper](https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Jiang_Online_Meta_Adaptation_for_Variable-Rate_Learned_Image_Compression_CVPRW_2022_paper.pdf)] 567 | - (CVPR 2022) **Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression** Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao. [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhu_Unified_Multivariate_Gaussian_Mixture_for_Efficient_Neural_Image_Compression_CVPR_2022_paper.pdf)] 568 | - (CVPR 2022) **Split Hierarchical Variational Compression** Ryder, Tom and Zhang, Chen and Kang, Ning and Zhang, Shifeng. [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Ryder_Split_Hierarchical_Variational_Compression_CVPR_2022_paper.pdf)] 569 | - (CVPR 2022) **SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention** W{\"o}dlinger, Matthias and Kotera, Jan and Xu, Jan and Sablatnig, Robert. [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wodlinger_SASIC_Stereo_Image_Compression_With_Latent_Shifts_and_Stereo_Attention_CVPR_2022_paper.pdf)] 570 | - (CVPR 2022) **Deep Stereo Image Compression via Bi-directional Coding**, Lei, Jianjun and Liu, Xiangrui and Peng, Bo and Jin, Dengchao and Li, Wanqing and Gu, Jingxiao [[paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Lei_Deep_Stereo_Image_Compression_via_Bi-Directional_Coding_CVPR_2022_paper.pdf)] 571 | 572 | - (AAAI 2022) **OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression**, Cao, Linfeng and Jiang, Aofan and Li, Wei and Wu, Huaying and Ye, Nanyang [[paper]](https://www.aaai.org/AAAI22Papers/AAAI-8610.CaoL.pdf) (HDR) 573 | 574 | - (arXiv preprint 2022) **Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression**, Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao [[paper]](https://arxiv.org/pdf/2203.10897.pdf)[[code]](https://github.com/xiaosu-zhu/McQuic) (E) 575 | - (arXiv preprint 2022) **Estimating the Resize Parameter in End-to-end Learned Image Compression**, Chen, Li-Heng and Bampis, Christos G and Li, Zhi and Krasula, Luk{\'a}{\v{s}} and Bovik, Alan C [[paper]](https://arxiv.org/pdf/2204.12022.pdf)[[code]](https://github.com/xiaosu-zhu/McQuic) (Sa) 576 | - (arXiv preprint 2022) **DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression**, Ma, Yi and Zhai, Yongqi and Wang, Ronggang [[paper]](https://arxiv.org/pdf/2201.01173.pdf)(Sa) 577 | - (arXiv preprint 2022) **End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training**, Kamisli, Fatih [[paper]](https://arxiv.org/pdf/2203.11686.pdf) (T+E) 578 | 579 | - (arXiv preprint 2022) **Transformations in Learned Image Compression from Modulation Perspective**, Bao, Youneng and Meng, Fangyang and Tan, Wen and Li, Chao and Tian, Yonghong and Liang, Yongsheng [[paper]](https://arxiv.org/pdf/2203.02158.pdf) 580 | 581 | - (arXiv preprint 2022) **Identity Preserving Loss for Learned Image Compression**, Xiao, Jiuhong and Aggarwal, Lavisha and Banerjee, Prithviraj and Aggarwal, Manoj and Medioni, Gerard [[paper]](https://arxiv.org/pdf/2204.10869.pdf) 582 | 583 | - (arXiv preprint 2022) **High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation**, Lu, Ming and Ma, Zhan [[paper]](https://arxiv.org/pdf/2204.11448.pdf) (E) 584 | 585 | - (arXiv preprint 2022) **Learning Weighting Map for Bit-Depth Expansion within a Rational Range**, Liu, Yuqing and Jia, Qi and Zhang, Jian and Fan, Xin and Wang, Shanshe and Ma, Siwei and Gao, Wen [[paper]](https://arxiv.org/pdf/2204.12039.pdf) [[code]](https://github.com/yuqing-liu-dut/bit-depth-expansion) 586 | 587 | 588 | - (arXiv preprint 2022) **Joint Image Compression and Denoising via Latent-Space Scalability**, Ranjbar Alvar, Saeed and Ulhaq, Mateen and Choi, Hyomin and Baji{\'c}, Ivan V [[paper]](https://arxiv.org/pdf/2205.01874.pdf) 589 | 590 | 591 | --- 592 | 593 | ## ✔2021 [ «🎯Back To Top» ](#) 594 | 595 | - (TPAMI 2021) **Learning end-to-end lossy image compression: A benchmark**, Hu, Yueyu and Yang, Wenhan and Ma, Zhan and Liu, Jiaying [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9376651) [[code]](https://github.com/huzi96/Coarse2Fine-PyTorch)(Benchmark) 596 | 597 | - (IJCV 2021) **Semantics-to-signal scalable image compression with learned revertible representations**, Liu, Kang and Liu, Dong and Li, Li and Yan, Ning and Li, Houqiang [[paper]](https://link.springer.com/content/pdf/10.1007/s11263-021-01491-7.pdf1)[[code](https://github.com/micmic123/QmapCompression)] (Scalable) 598 | 599 | - (TIP 2021) **Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks**, Wang, Juan and Duan, Yiping and Tao, Xiaoming and Xu, Mai and Lu, Jianhua [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9381614) 600 | 601 | - (ICLR 2021) **Hierarchical Image Compression Framework**, Ge, Yunying and Wang, Jing and Shi, Yibo and Gao, Shangyin [[paper]](https://openreview.net/pdf?id=8rPXT-SVgjh) 602 | 603 | 604 | - (ICCV 2021) **Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform**, Song, Myungseo and Choi, Jinyoung and Han, Bohyung [[paper]](https://openaccess.thecvf.com/content/ICCV2021/papers/Song_Variable-Rate_Deep_Image_Compression_Through_Spatially-Adaptive_Feature_Transform_ICCV_2021_paper.pdf) (E) 605 | 606 | - (CVPR 2021) **Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation**, Cui, Ze and Wang, Jing and Gao, Shangyin and Guo, Tiansheng and Feng, Yihui and Bai, Bo [[paper]](https://openaccess.thecvf.com/content/CVPR2021/papers/Cui_Asymmetric_Gained_Deep_Image_Compression_With_Continuous_Rate_Adaptation_CVPR_2021_paper.pdf) [[code]](https://github.com/mmSir/GainedVAE)(VR) 607 | 608 | - (CVPR 2021) **Checkerboard context model for efficient learned image compression**, He, Dailan and Zheng, Yaoyan and Sun, Baocheng and Wang, Yan and Qin, Hongwei [[paper]](https://openaccess.thecvf.com/content/CVPR2021/papers/He_Checkerboard_Context_Model_for_Efficient_Learned_Image_Compression_CVPR_2021_paper.pdf) [[code1]](https://github.com/leelitian/Checkerboard-Context-Model-Pytorch) [[code]](https://github.com/JiangWeibeta/Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression) (E) 609 | 610 | - (CVPR 2021) **Learning scalable ly=-constrained near-lossless image compression via joint lossy image and residual compression**, Bai, Yuanchao and Liu, Xianming and Zuo, Wangmeng and Wang, Yaowei and Ji, Xiangyang [[paper]]([https://openaccess.thecvf.com/content/CVPR2021/papers/Cui_Asymmetric_Gained_Deep_Image_Compression_With_Continuous_Rate_Adaptation_CVPR_2021_paper.pdf) [[code]](https://github.com/mmSir/GainedVAE](https://openaccess.thecvf.com/content/CVPR2021/papers/Bai_Learning_Scalable_lY-Constrained_Near-Lossless_Image_Compression_via_Joint_Lossy_Image_CVPR_2021_paper.pdf))(lossless) 611 | 612 | - (CVPRW 2021) **End-to-end optimized image compression with competition of prior distributions**, Brummer, Benoit and De Vleeschouwer, Christophe [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Brummer_End-to-End_Optimized_Image_Compression_With_Competition_of_Prior_Distributions_CVPRW_2021_paper.pdf) [[code]](https://github.com/trougnouf/Manypriors)(E) 613 | 614 | - (CVPRW 2021) **Subjective Quality Optimized Efficient Image Compression**, Wang, Xining and Chen, Tong and Ma, Zhan [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Wang_Subjective_Quality_Optimized_Efficient_Image_Compression_CVPRW_2021_paper.pdf) [[code]](https://github.com/mmSir/GainedVAE)(perceptual) 615 | 616 | - (CVPRW 2021) **Variable Rate ROI Image Compression Optimized for Visual Quality**, Ma, Yi and Zhai, Yongqi and Yang, Chunhui and Yang, Jiayu and Wang, Ruofan and Zhou, Jing and Li, Kai and Chen, Ying and Wang, Ronggang [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Ma_Variable_Rate_ROI_Image_Compression_Optimized_for_Visual_Quality_CVPRW_2021_paper.pdf)(VR) 617 | 618 | - (CVPRW 2021) **Image Compression with Recurrent Neural Network and Generalized Divisive Normalization**, Islam, Khawar and Dang, L Minh and Lee, Sujin and Moon, Hyeonjoon [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Islam_Image_Compression_With_Recurrent_Neural_Network_and_Generalized_Divisive_Normalization_CVPRW_2021_paper.pdf)[[code]](https://github.com/khawar-islam/cvpr) 619 | 620 | - (CVPRW 2021) **End-to-End Learned Image Compression with Augmented Normalizing Flows**, Ho, Yung-Han and Chan, Chih-Chun and Peng, Wen-Hsiao and Hang, Hsueh-Ming [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Islam_Image_Compression_With_Recurrent_Neural_Network_and_Generalized_Divisive_Normalization_CVPRW_2021_paper.pdf)[[code]](https://github.com/dororojames/anfic) 621 | 622 | - (CVPRW 2021) **Learned Image Compression with Super-Resolution Residual Modules and DISTS Optimization**, Suzuki, Akifumi and Akutsu, Hiroaki and Naruko, Takahiro and Tsubota, Koki and Aizawa, Kiyoharu [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Suzuki_Learned_Image_Compression_With_Super-Resolution_Residual_Modules_and_DISTS_Optimization_CVPRW_2021_paper.pdf) (Perceptual) 623 | 624 | - (CVPRW 2021) **Perceptual Friendly Variable Rate Image Compression**, Gao, Yixin and Wu, Yaojun and Guo, Zongyu and Zhang, Zhizheng and Chen, Zhibo [[paper]](https://openaccess.thecvf.com/content/CVPR2021W/CLIC/papers/Gao_Perceptual_Friendly_Variable_Rate_Image_Compression_CVPRW_2021_paper.pdf) (VR+Perceptual) 625 | 626 | - (WACV 2021) **Saliency Driven Perceptual Image Compression**, Patel, Yash and Appalaraju, Srikar and Manmatha, R [[paper]](https://openaccess.thecvf.com/content/WACV2021/papers/Patel_Saliency_Driven_Perceptual_Image_Compression_WACV_2021_paper.pdf) (perceputal) 627 | 628 | - (TCSVT 2021) **Causal contextual prediction for learned image compression**, Guo, Zongyu and Zhang, Zhizheng and Feng, Runsen and Chen, Zhibo [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9455349) (E) 629 | 630 | - (TCSVT 2021) **Learned Block-based Hybrid Image Compression**, Wu, Yaojun and Li, Xin and Zhang, Zhizheng and Jin, Xin and Chen, Zhibo [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9455349) (T+E) 631 | 632 | - (ACMMM 2021) **Enhanced Invertible Encoding for Learned Image Compression**, Yueqi Xie, Ka Leong Cheng, Qifeng Chen [[paper]](https://dl.acm.org/doi/pdf/10.1145/3474085.3475213) [[code]](https://github.com/xyq7/InvCompress) (Invertible) 633 | 634 | - (ACMMM 2021) **Semantic Scalable Image Compression with Cross-Layer Priors**, Tu, Hanyue and Li, Li and Zhou, Wengang and Li, Houqiang [[paper]](https://dl.acm.org/doi/pdf/10.1145/3474085.3475533) (Scalable) 635 | 636 | - (ACMMM 2021) **Interpolation Variable Rate Image Compression**, Sun, Zhenhong and Tan, Zhiyu and Sun, Xiuyu and Zhang, Fangyi and Qian, Yichen and Li, Dongyang and Li, Hao [[paper]](https://dl.acm.org/doi/pdf/10.1145/3474085.3475698) (VR) 637 | 638 | - (TMM 2021) **Learned Multi-Resolution Variable-Rate Image Compression With Octave-Based Residual Blocks**, Akbari, Mohammad and Liang, Jie and Han, Jingning and Tu, Chengjie [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9385968&tag=1) (VR) 639 | 640 | - (DCC 2021) **Accelerate Neural Image Compression with Channel-adaptive Arithmetic Coding**, uo, Zongyu and Fu, Jun and Feng, Runsen and Chen, Zhibo [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9401277) 641 | 642 | - (ICIP 2021) **Graph-Convolution Network for Image Compression**, Yang, Chunhui and Ma, Yi and Yang, Jiayu and Liu, Shiyi and Wang, Ronggang [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9506704) 643 | 644 | - (PMLR 2021) **Soft then hard: Rethinking the quantization in neural image compression**, Z Guo，Z Zhang，R Feng，Z Chen [[paper]](http://proceedings.mlr.press/v139/guo21c/guo21c.pdf) 645 | 646 | - (arXiv preprint 2021) **Learned Image Compression for Machine Perception**, Codevilla, Felipe and Simard, Jean Gabriel and Goroshin, Ross and Pal, Chris [[paper]](https://arxiv.org/pdf/2111.02249.pdf) (Perceptual) 647 | 648 | - (arXiv preprint 2021) **Substitutional Neural Image Compression**, Wang, Xiao and Jiang, Wei and Wang, Wei and Liu, Shan and Kulis, Brian and Chin, Peter [[paper]](https://arxiv.org/pdf/2105.07512.pdf) (VR) 649 | 650 | - (arXiv preprint 2021) **DPICT: Deep Progressive Image Compression Using Trit-Planes**, Lee, Jae-Han and Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su [[paper]](https://arxiv.org/pdf/2112.06334.pdf) (VR) 651 | 652 | - (arXiv preprint 2021) **Implicit Neural Representations for Image Compression**, Str{\"u}mpler, Yannick and Postels, Janis and Yang, Ren and Van Gool, Luc and Tombari, Federico [[paper]](https://arxiv.org/pdf/2112.04267.pdf) 653 | 654 | - (arXiv preprint 2021) **A Novel Framework for Image-to-image Translation and Image Compression**, Yang, Fei and Wang, Yaxing and Herranz, Luis and Cheng, Yongmei and Mozerov, Mikhail [[paper]](https://arxiv.org/pdf/2111.13105.pdf) (I2I) 655 | 656 | - (arXiv preprint 2021) **Semantic-assisted image compression**, Sun, Qizheng and Guo, Caili and Yang, Yang and Chen, Jiujiu and Xue, Xijun [[paper]](https://arxiv.org/pdf/2201.12599.pdf) 657 | 658 | - (arXiv preprint 2021) **End-to-End Learned Image Compression with Quantized Weights and Activations**, Sun, Heming and Yu, Lu and Katto, Jiro [[paper]](https://arxiv.org/pdf/2111.09348.pdf) 659 | 660 | - (arXiv preprint 2021) **End-to-End Image Compression with Probabilistic Decoding**, Ma, Haichuan and Liu, Dong and Dong, Cunhui and Li, Li and Wu, Feng [[paper]](https://arxiv.org/pdf/2109.14837.pdf) 661 | 662 | - (arXiv preprint 2021) **Towards End-to-End Image Compression and Analysis with Transformers**, Bai, Yuanchao and Yang, Xu and Liu, Xianming and Jiang, Junjun and Wang, Yaowei and Ji, Xiangyang and Gao, Wen [[paper]](https://arxiv.org/pdf/2112.09300.pdf) 663 | 664 | - (arXiv preprint 2021) **A Cross Channel Context Model for Latents in Deep Image Compression**, Ma, Changyue and Wang, Zhao and Liao, Ruling and Ye, Yan [[paper]](https://arxiv.org/pdf/2103.02884.pdf) 665 | 666 | 667 | - (arXiv preprint 2021) **Online Meta Adaptation for Variable-Rate Learned Image Compression**, Wei Jiang, Wei Wang, Songnan Li, Shan Liu [[paper]](https://arxiv.org/abs/2111.08256) (VR) 668 | 669 | 670 | --- 671 | 672 | ## ✔2020 [ «🎯Back To Top» ](#) 673 | 674 | 675 | --- 676 | 677 | ## ✔2019 [ «🎯Back To Top» ](#) 678 | 679 | - (PCS 19) **A novel deep progressive image compression framework**, Cai, Chunlei and Chen, Li and Zhang, Xiaoyun and Lu, Guo and Gao, Zhiyong. [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8954500) 680 | 681 | - (CVPR 19) **Learning image and video compression through spatial-temporal energy compaction**, Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, Jiro. [[paper]](https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_Learning_Image_and_Video_Compression_Through_Spatial-Temporal_Energy_Compaction_CVPR_2019_paper.pdf) 682 | 683 | 684 | --- 685 | 686 | ## ✔2018 [ «🎯Back To Top» ](#) 687 | 688 | --- 689 | --------------------------------------------------------------------------------