├── PDF ├── Akyazi_Learning-Based_Image_Compression_using_Convolutional_Autoencoder_and_Wavelet_Decomposition_CVPRW_2019_paper.pdf ├── Aytekin_A_Compression_Objective_and_a_Cycle_Loss_for_Neural_Image_CVPRW_2019_paper.pdf ├── Cai_Efficient_Learning_Based_Sub-pixel_Image_Compression_CVPRW_2019_paper.pdf ├── Chen_Learning_Patterns_of_Latent_Residual_for_Improving_Video_Compression_CVPRW_2019_paper.pdf ├── Cheng_Deep_Residual_Learning_for_Image_Compression_CVPRW_2019_paper.pdf ├── Chun_Learned_Prior_Information_for_Image_Compression_CVPRW_2019_paper.pdf ├── Cui_Decoder_Side_Color_Image_Quality_Enhancement_using_a_Wavelet_Transform_CVPRW_2019_paper.pdf ├── Lam_Compressing_Weight-updates_for_Image_Artifacts_Removal_Neural_Networks_CVPRW_2019_paper.pdf ├── Lee_Extended_End-to-End_optimized_Image_Compression_Method_based_on_a_Context-Adaptive_CVPRW_2019_paper.pdf ├── Lee_Learned_Image_Compression_with_Residual_Coding_CVPRW_2019_paper.pdf ├── Li_A_Better_Color_Space_Conversion_Based_on_Learned_Variances_For_CVPRW_2019_paper.pdf ├── Li_VimicroABCnet_An_Image_Coder_Combining_A_Better_Color_Space_Conversion_CVPRW_2019_paper.pdf ├── Liu_Practical_Stacked_Non-local_Attention_Modules_for_Image_Compression_CVPRW_2019_paper.pdf ├── Lu_Learned_Image_Restoration_for_VVC_Intra_Coding_CVPRW_2019_paper.pdf ├── Savioli_A_Hybrid_Approach_Between_Adversarial_Generative_Networks_and_Actor-Critic_Policy_CVPRW_2019_paper.pdf ├── Wang_RDO-based_Secondary_Prediction_Scheme_for_Image_Compression_CVPRW_2019_paper.pdf ├── Wen_Variational_Autoencoder_based_Image_Compression_with_Pyramidal_Features_and_Context_CVPRW_2019_paper.pdf ├── Xue_Attention_Based_Image_Compression_Post-Processing_Convlutional_Neural_Network_CVPRW_2019_paper.pdf ├── Zhou_End-to-end_Optimized_Image_Compression_with_Attention_Mechanism_CVPRW_2019_paper.pdf └── Zhou_Multi-scale_and_Context-adaptive_Entropy_Model_for_Image_Compression_CVPRW_2019_paper.pdf └── README.md 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https://raw.githubusercontent.com/mdcnn/Image-and-Video-Compression-Resource/67f618bb666580922a92d48fcfdfcc79036fea0f/PDF/Zhou_End-to-end_Optimized_Image_Compression_with_Attention_Mechanism_CVPRW_2019_paper.pdf -------------------------------------------------------------------------------- /PDF/Zhou_Multi-scale_and_Context-adaptive_Entropy_Model_for_Image_Compression_CVPRW_2019_paper.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mdcnn/Image-and-Video-Compression-Resource/67f618bb666580922a92d48fcfdfcc79036fea0f/PDF/Zhou_Multi-scale_and_Context-adaptive_Entropy_Model_for_Image_Compression_CVPRW_2019_paper.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Latest Image and Video Compression/Coding Resource (Updating) 2 | 3 | A list of image/video coding approaches and the summary of some available codes or projects, maintained by: [[Lijun Zhao]](https://mdcnn.github.io/). If your paper or summary about Image and Video Compression [[this topic]](https://www.researchgate.net/project/CNN-based-image-processing-and-compression?_sg=x0ou1PAOHzs6nyqwmZBlc8JlZG_fTOgxkbwkDcZh3iVzB5b-VHOm6RNam01PP-0_cRtytWcpozAsJnUqoIthxWGnlbTepazyBNJV) is not listed among them, please contact us(email: leejun@tyust.edu.cn). 4 | 5 | 6 | 7 | ## Some available summary projects 8 | 9 | * Image-compression-and-video-coding （maintained by Sifeng Xia, Yueyue Hu, Wenhan Yang, Dezhao Wang, Yuzhang Hu） [[Paper Summary]](https://github.com/flyywh/Image-compression-and-video-coding) 10 | 11 | * Deep Learning Based Image and Video Compression （maintained by Dong Liu） [[Paper Summary]](http://staff.ustc.edu.cn/~dongeliu/dlc.html) 12 | 13 | * CVPR CLIC 2018 and CVPR CLIC 2019 （maintained by [[Lijun Zhao]](https://mdcnn.github.io/)）[[Paper Summary]](https://github.com/mdcnn/CVPR-CLIC-Challenge) 14 | 15 | 16 | 17 | ## CVPR-CLIC2019-Challenge 18 | 19 | #### CVPR 2019 Workshop and Challenge on Learned Image Compression 20 | 21 | * A Compression Objective and a Cycle Loss for Neural Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 22 | 23 | * A Better Color Space Conversion Based on Learned Variances For Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 24 | 25 | * A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 26 | 27 | * Efficient Learning Based Sub-pixel Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 28 | 29 | * Attention Based Image Compression Post-Processing Convolutional Neural Network [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 30 | 31 | * End-to-end Optimized Image Compression with Attention Mechanism [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 32 | 33 | * Practical Stacked Non-local Attention Modules for Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 34 | 35 | * Compressing Weight-updates for Image Artifacts Removal Neural Networks [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 36 | 37 | * Compressing Weight-updates for Image Artifacts Removal Neural Networks [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 38 | 39 | * Learned Prior Information for Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 40 | 41 | * Deep Residual Learning for Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 42 | 43 | * Decoder Side Color Image Quality Enhancement using a Wavelet Transform based 3-stage Convolutional Neural Network [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 44 | 45 | * Extended End-to-End optimized Image Compression Method based on a Context-Adaptive Entropy Model [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 46 | 47 | * Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 48 | 49 | * Learned Image Compression with Residual Coding [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 50 | 51 | * Learning Patterns of Latent Residual for Improving Video Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 52 | 53 | * Learned Image Restoration for VVC Intra Coding [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 54 | 55 | * Multi-scale and Context-adaptive Entropy Model for Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 56 | 57 | * Practical Stacked Non-local Attention Modules for Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 58 | 59 | * RDO-based Secondary Prediction Scheme for Image Compression [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 60 | 61 | * Variational Autoencoder Based Image Compression with Pyramidal Features and Context Entropy Model [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 62 | 63 | * VimicroABCnet: An Image Coder Combining A Better Color Space Conversion Algorithm and A Post Enhancing Network [[PDF]](https://github.com/mdcnn/Image-and-Video-Compression-Resource/tree/master/PDF) 64 | 65 | ## CVPR-CLIC2018-Challenge 66 | 67 | #### CVPR 2018 Workshop and Challenge on Learned Image Compression [[Web]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 68 | 69 | * An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 70 | 71 | * Autoencoders with Variable Sized Latent Vector for Image Compression [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 72 | 73 | * An Implementation of Picture Compression with A CNN-based Auto-encoder [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 74 | 75 | * Block-optimized Variable Bit Rate Neural Image Compression [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 76 | 77 | * BlockCNN: A Deep Network for Artifact Removal and Image Compression [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 78 | 79 | * CNN-Optimized Image Compression with Uncertainty based Resource Allocation [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 80 | 81 | * Compression artifact removal using multi-scale reshuffling convolutional network [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 82 | 83 | * Combine Traditional Compression MethodWith Convolutional Neural Networks [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 84 | 85 | * Deep Image Compression via End-to-End Learning [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 86 | 87 | * Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018 [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 88 | 89 | * Extreme Learned Image Compression with GANs [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 90 | 91 | * Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 92 | 93 | * Image compression with xvc [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 94 | 95 | * Joint denoising and decompression using CNN regularization [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 96 | 97 | * Learned Compression Artifact Removal by Deep Residual Networks [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 98 | 99 | * Learning Compressible 360? Video Isomers [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 100 | 101 | * Perceptually optimized low bit-rate image encoding [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 102 | 103 | * Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 104 | 105 | * Variational Autoencoder for Low Bit-rate Image Compression [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 106 | 107 | * Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 108 | 109 | * YASO [[PDF]](http://openaccess.thecvf.com/content_cvpr_2018_workshops/w50/html/) 110 | 111 | 112 | 113 | ## The summary of some available codes 114 | 115 | --------------------------------------------------------------------------------