Details for SAT-HMR SMPL

AuthorsChi Su, Xiaoxuan Ma, Jiajun Su, Yizhou Wang
Paper titleSAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
Publication venuearXiv preprint
URLhttps://arxiv.org/abs/2411.19824
Additional Information We propose a one-stage framework for real-time multi-person 3D mesh estimation from a single RGB image. By processing input images at 644-pixel resolution and introducing scale-adaptive tokens to selectively leverage 1288-pixel features locally, our method balances high accuracy with low computational cost, enabling real-time inference.

Metrics

Full setKid
F1 Score0.950F1 Score0.730
Precision0.980Precision0.640
Recall0.910Recall0.860
Body
Full setKid
MPJPE67.900MPJPE83.800
MVE63.300MVE79.500
NMJE71.500NMJE114.800
NMVE66.600NMVE108.900