Publicly released code/data from THU-3DHuman: sourcecode / dataset

• YuelangX/Gaussian-Head-Avatar:
  [CVPR 2024] Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians

• lizhe00/AnimatableGaussians:
  [CVPR 2024] Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling

• huliangxiao/GaussianAvatar:
  [CVPR 2024] GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians

• xhuangcv/humannorm:
  [CVPR 2024] HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation

• ShunyuanZheng/GPS-Gaussian:
  [CVPR 2024] GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis

• MrTornado24/DreamCraft3D:
  [ICLR 2024] DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

• XChenZ/havatar:
  [TOG 2023] HAvatar: High-fidelity Head Avatar via Facial Model ConditionedNeural Radiance Field

• YuelangX/LatentAvatar:
  [SIGGRAPH 2023] LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

• YuelangX/AvatarMAV:
  [SIGGRAPH 2023] AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels

• LizhenWangT/StyleAvatar:
  [SIGGRAPH 2023] StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video

• lizhe00/PoseVocab:
  [SIGGRAPH 2023] PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling

• DSaurus/Tensor4D:
  [CVPR 2023] Tensor4D: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering

• MrTornado24/Next3D:
  [CVPR 2023] Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

• HongwenZhang/PyMAF-X:
  [TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images

• MrTornado24/IDE-3D:
  [SIGGRAPH Asia 2022] IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis

• DSaurus/DiffuStereo:
  [ECCV 2022] DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras

• jsnln/fite:
  [ECCV 2022] Learning Implicit Templates for Point-Based Clothed Human Modeling

• lizhe00/AvatarCap:
  [ECCV 2022] AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture

• MrTornado24/FENeRF:
  [CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields

• Dw1010/IntagHand:
  [CVPR 2022] Interacting Attention Graph for Single Image Two-Hand Reconstruction

• LizhenWangT/FaceVerse:
  [CVPR 2022] FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset

• fengq1a0/FOF:
  [NeurIPS 2022] FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction

• ZhengZerong/PaMIR:
  [TPAMI 2021] PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction

• DSaurus/DeepMultiCap:
  [ICCV 2021] DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras

• HongwenZhang/PyMAF:
  [ICCV 2021] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

• ZhengZerong/DeepImplicitTemplates:
  [CVPR 2021] Deep Implicit Templates for 3D Shape Representation

• LizhenWangT/NormalGAN:
  [ECCV 2020] NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image

• zhangyux15/4d_association:
  [CVPR 2020] 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras

• ZhengZerong/DeepHuman:
  [ICCV 2019] DeepHuman: 3D Human Reconstruction from a Single Image