Pytorch demo code and models for Multi-HMR
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Updated
Sep 4, 2024 - Python
Pytorch demo code and models for Multi-HMR
The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
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
[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"
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
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