└── README.md /README.md: -------------------------------------------------------------------------------- 1 | 2 | ### 2024 3 | + **[YuelangX/Gaussian-Head-Avatar](https://github.com/YuelangX/Gaussian-Head-Avatar)**: [![GitHub stars](https://img.shields.io/github/stars/YuelangX/Gaussian-Head-Avatar.svg?style=social&label=Star)](https://github.com/YuelangX/Gaussian-Head-Avatar)\ 4 | ``[CVPR 2024] Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians`` 5 | 6 | + **[lizhe00/AnimatableGaussians](https://github.com/lizhe00/AnimatableGaussians)**: [![GitHub stars](https://img.shields.io/github/stars/lizhe00/AnimatableGaussians.svg?style=social&label=Star)](https://github.com/lizhe00/AnimatableGaussians)\ 7 | ``[CVPR 2024] Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling`` 8 | 9 | + **[huliangxiao/GaussianAvatar](https://github.com/huliangxiao/GaussianAvatar)**: [![GitHub stars](https://img.shields.io/github/stars/huliangxiao/GaussianAvatar.svg?style=social&label=Star)](https://github.com/huliangxiao/GaussianAvatar)\ 10 | ``[CVPR 2024] GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians`` 11 | 12 | + **[xhuangcv/humannorm](https://github.com/xhuangcv/humannorm)**: [![GitHub stars](https://img.shields.io/github/stars/xhuangcv/humannorm.svg?style=social&label=Star)](https://github.com/xhuangcv/humannorm)\ 13 | ``[CVPR 2024] HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation`` 14 | 15 | + **[ShunyuanZheng/GPS-Gaussian](https://github.com/ShunyuanZheng/GPS-Gaussian)**: [![GitHub stars](https://img.shields.io/github/stars/ShunyuanZheng/GPS-Gaussian.svg?style=social&label=Star)](https://github.com/ShunyuanZheng/GPS-Gaussian)\ 16 | ``[CVPR 2024] GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis`` 17 | 18 | + **[MrTornado24/DreamCraft3D](https://github.com/deepseek-ai/DreamCraft3D)**: [![GitHub stars](https://img.shields.io/github/stars/deepseek-ai/DreamCraft3D.svg?style=social&label=Star)](https://github.com/deepseek-ai/DreamCraft3D)\ 19 | ``[ICLR 2024] DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior`` 20 | 21 | ### 2023 22 | + **[XChenZ/havatar](https://github.com/XChenZ/havatar)**: [![GitHub stars](https://img.shields.io/github/stars/XChenZ/havatar.svg?style=social&label=Star)](https://github.com/XChenZ/havatar)\ 23 | ``[TOG 2023] HAvatar: High-fidelity Head Avatar via Facial Model ConditionedNeural Radiance Field`` 24 | 25 | + **[YuelangX/LatentAvatar](https://github.com/YuelangX/LatentAvatar)**: [![GitHub stars](https://img.shields.io/github/stars/YuelangX/LatentAvatar.svg?style=social&label=Star)](https://github.com/XChenZ/invertAvatar)\ 26 | ``[SIGGRAPH 2023] LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar`` 27 | 28 | + **[YuelangX/AvatarMAV](https://github.com/YuelangX/AvatarMAV)**: [![GitHub stars](https://img.shields.io/github/stars/YuelangX/AvatarMAV.svg?style=social&label=Star)](https://github.com/YuelangX/AvatarMAV)\ 29 | ``[SIGGRAPH 2023] AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels`` 30 | 31 | + **[LizhenWangT/StyleAvatar](https://github.com/LizhenWangT/StyleAvatar)**: [![GitHub stars](https://img.shields.io/github/stars/LizhenWangT/StyleAvatar.svg?style=social&label=Star)](https://github.com/LizhenWangT/StyleAvatar)\ 32 | ``[SIGGRAPH 2023] StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video`` 33 | 34 | + **[lizhe00/PoseVocab](https://github.com/lizhe00/PoseVocab)**: [![GitHub stars](https://img.shields.io/github/stars/lizhe00/PoseVocab.svg?style=social&label=Star)](https://github.com/lizhe00/PoseVocab)\ 35 | ``[SIGGRAPH 2023] PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling`` 36 | 37 | + **[DSaurus/Tensor4D](https://github.com/DSaurus/Tensor4D)**: [![GitHub stars](https://img.shields.io/github/stars/DSaurus/Tensor4D.svg?style=social&label=Star)](https://github.com/DSaurus/Tensor4D)\ 38 | ``[CVPR 2023] Tensor4D: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering`` 39 | 40 | + **[MrTornado24/Next3D](https://github.com/MrTornado24/Next3D)**: [![GitHub stars](https://img.shields.io/github/stars/MrTornado24/Next3D.svg?style=social&label=Star)](https://github.com/MrTornado24/Next3D)\ 41 | ``[CVPR 2023] Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars`` 42 | 43 | + **[HongwenZhang/PyMAF-X](https://github.com/HongwenZhang/PyMAF-X)**: [![GitHub stars](https://img.shields.io/github/stars/HongwenZhang/PyMAF-X.svg?style=social&label=Star)](https://github.com/HongwenZhang/PyMAF-X)\ 44 | ``[TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images`` 45 | 46 | ### 2022 47 | 48 | + **[MrTornado24/IDE-3D](https://github.com/MrTornado24/IDE-3D)**: [![GitHub stars](https://img.shields.io/github/stars/MrTornado24/IDE-3D.svg?style=social&label=Star)](https://github.com/MrTornado24/IDE-3D)\ 49 | ``[SIGGRAPH Asia 2022] IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis`` 50 | 51 | + **[DSaurus/DiffuStereo](https://github.com/DSaurus/DiffuStereo)**: [![GitHub stars](https://img.shields.io/github/stars/DSaurus/DiffuStereo.svg?style=social&label=Star)](https://github.com/DSaurus/DiffuStereo)\ 52 | ``[ECCV 2022] DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras`` 53 | 54 | + **[jsnln/fite](https://github.com/jsnln/fite)**: [![GitHub stars](https://img.shields.io/github/stars/jsnln/fite.svg?style=social&label=Star)](https://github.com/jsnln/fite)\ 55 | ``[ECCV 2022] Learning Implicit Templates for Point-Based Clothed Human Modeling`` 56 | 57 | + **[lizhe00/AvatarCap](https://github.com/lizhe00/AvatarCap)**: [![GitHub stars](https://img.shields.io/github/stars/lizhe00/AvatarCap.svg?style=social&label=Star)](https://github.com/lizhe00/AvatarCap)\ 58 | ``[ECCV 2022] AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture`` 59 | 60 | + **[MrTornado24/FENeRF](https://github.com/MrTornado24/FENeRF)**: [![GitHub stars](https://img.shields.io/github/stars/MrTornado24/FENeRF.svg?style=social&label=Star)](https://github.com/MrTornado24/FENeRF)\ 61 | ``[CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields`` 62 | 63 | + **[Dw1010/IntagHand](https://github.com/Dw1010/IntagHand)**: [![GitHub stars](https://img.shields.io/github/stars/Dw1010/IntagHand.svg?style=social&label=Star)](https://github.com/Dw1010/IntagHand)\ 64 | ``[CVPR 2022] Interacting Attention Graph for Single Image Two-Hand Reconstruction`` 65 | 66 | + **[LizhenWangT/FaceVerse](https://github.com/LizhenWangT/FaceVerse)**: [![GitHub stars](https://img.shields.io/github/stars/LizhenWangT/FaceVerse.svg?style=social&label=Star)](https://github.com/LizhenWangT/FaceVerse)\ 67 | ``[CVPR 2022] FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset`` 68 | 69 | + **[fengq1a0/FOF](https://github.com/fengq1a0/FOF)**: [![GitHub stars](https://img.shields.io/github/stars/fengq1a0/FOF.svg?style=social&label=Star)](https://github.com/fengq1a0/FOF)\ 70 | ``[NeurIPS 2022] FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction`` 71 | 72 | 73 | ### 2021 74 | 75 | + **[ZhengZerong/PaMIR](https://github.com/ZhengZerong/PaMIR)**: [![GitHub stars](https://img.shields.io/github/stars/ZhengZerong/PaMIR.svg?style=social&label=Star)](https://github.com/ZhengZerong/PaMIR)\ 76 | ``[TPAMI 2021] PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction`` 77 | 78 | + **[DSaurus/DeepMultiCap](https://github.com/DSaurus/DeepMultiCap)**: [![GitHub stars](https://img.shields.io/github/stars/DSaurus/DeepMultiCap.svg?style=social&label=Star)](https://github.com/DSaurus/DeepMultiCap)\ 79 | ``[ICCV 2021] DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras`` 80 | 81 | + **[HongwenZhang/PyMAF](https://github.com/HongwenZhang/PyMAF)**: [![GitHub stars](https://img.shields.io/github/stars/HongwenZhang/PyMAF.svg?style=social&label=Star)](https://github.com/HongwenZhang/PyMAF)\ 82 | ``[ICCV 2021] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop`` 83 | 84 | + **[ZhengZerong/DeepImplicitTemplates](https://github.com/ZhengZerong/DeepImplicitTemplates)**: [![GitHub stars](https://img.shields.io/github/stars/ZhengZerong/DeepImplicitTemplates.svg?style=social&label=Star)](https://github.com/ZhengZerong/DeepImplicitTemplates)\ 85 | ``[CVPR 2021] Deep Implicit Templates for 3D Shape Representation`` 86 | 87 | ### 2020 88 | 89 | + **[LizhenWangT/NormalGAN](https://github.com/LizhenWangT/NormalGAN)**: [![GitHub stars](https://img.shields.io/github/stars/LizhenWangT/NormalGAN.svg?style=social&label=Star)](https://github.com/LizhenWangT/NormalGAN)\ 90 | ``[ECCV 2020] NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image`` 91 | 92 | + **[zhangyux15/4d_association](https://github.com/zhangyux15/4d_association)**: [![GitHub stars](https://img.shields.io/github/stars/zhangyux15/4d_association.svg?style=social&label=Star)](https://github.com/zhangyux15/4d_association)\ 93 | ``[CVPR 2020] 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras`` 94 | 95 | ### 2019 96 | 97 | + **[ZhengZerong/DeepHuman](https://github.com/ZhengZerong/DeepHuman)**: [![GitHub stars](https://img.shields.io/github/stars/ZhengZerong/DeepHuman.svg?style=social&label=Star)](https://github.com/ZhengZerong/DeepHuman)\ 98 | ``[ICCV 2019] DeepHuman: 3D Human Reconstruction from a Single Image`` 99 | --------------------------------------------------------------------------------