CrowdRec: 3D Crowd Reconstruction from Single Color Images

1 code implementation • 10 Oct 2023 • Buzhen Huang, Jingyi Ju, Yangang Wang

To promote a more reasonable spatial distribution, we further propose a crowd constraint to refine the single-person network parameters.

Reconstructing Groups of People with Hypergraph Relational Reasoning

1 code implementation • ICCV 2023 • Buzhen Huang, Jingyi Ju, Zhihao LI, Yangang Wang

To address the obstacles, we fully exploit crowd features for reconstructing groups of people from a monocular image.

3D Multi-Person Mesh Recovery Pose Estimation +1

Physics-Guided Human Motion Capture with Pose Probability Modeling

1 code implementation • 19 Aug 2023 • Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao LI, Yangang Wang

To address the obstacles, our key-idea is to employ physics as denoising guidance in the reverse diffusion process to reconstruct physically plausible human motion from a modeled pose probability distribution.

Denoising

Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior

1 code implementation • 12 Jul 2022 • Buzhen Huang, Yuan Shu, Jingyi Ju, Yangang Wang

To address the obstacles, our key-idea is to employ non-occluded human data to learn a joint-level spatial-temporal motion prior for occluded human with a self-supervised strategy.

3D Human Pose Estimation Unsupervised 3D Human Pose Estimation

Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture

no code implementations • CVPR 2022 • Buzhen Huang, Liang Pan, Yuan Yang, Jingyi Ju, Yangang Wang

Our key-idea is to use real physical supervisions to train a target pose distribution prior for sampling-based motion control to capture physically plausible human motion.