The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
-
Updated
Sep 25, 2023
The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop
Official code of ICASSP 2023 paper "GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Reconstruction from a 2D Pose"
PyTorch code for EgoHMR (ICCV 2023): Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.
Pytorch demo code and models for Multi-HMR
[TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey
[ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"
[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”.
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts
[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Add a description, image, and links to the human-mesh-recovery topic page so that developers can more easily learn about it.
To associate your repository with the human-mesh-recovery topic, visit your repo's landing page and select "manage topics."