[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
[CVPR25 Oral (Top 3.3%)] Official code for paper "Reconstructing Humans with a Biomechanically Accurate Skeleton".
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
[CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.
The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.
[TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
[TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts
PyTorch code for EgoHMR (ICCV 2023): Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Official code of ICASSP 2023 paper "GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Reconstruction from a 2D Pose"
Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop
[NeurIPS 2024] OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
