HongwenZhang
commented
11 months ago The following papers have been updated to the arXiv version of the survey [v6, Jan.2, 2023].
Datasets SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
Whole-Body Mesh Recovery SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
Diffusion for HMR Distribution-Aligned Diffusion for Human Mesh Recovery Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models
Transformer for HMR TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
Domain Adaptation Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
Output Type 3D Human Mesh Recovery with Sequentially Global Rotation Estimation
Camera Setting Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction
This issue is intended to collect related papers appearing in ICCV'23/NeurIPS'23 and recent papers missed out in the survey. Please feel free to post comments if you have any suggestions!