Pytorch demo code and models for Multi-HMR
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Updated
May 14, 2024 - Python
Pytorch demo code and models for Multi-HMR
The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.
[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
[TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
[CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.
PyTorch code for EgoHMR (ICCV 2023): Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop
The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
[TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey
[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts
Official code of ICASSP 2023 paper "GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Reconstruction from a 2D Pose"
[ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
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