Recovering 3d human mesh from monocular images: A survey

Y Tian, H Zhang, Y Liu, L Wang - IEEE transactions on pattern …, 2023 - ieeexplore.ieee.org
Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

Physics-informed computer vision: A review and perspectives

C Banerjee, K Nguyen, C Fookes, K George - ACM Computing Surveys, 2024 - dl.acm.org
The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …

Physics-informed machine learning: A survey on problems, methods and applications

Z Hao, S Liu, Y Zhang, C Ying, Y Feng, H Su… - ar** diverse objects with simulated humanoids
Z Luo, J Cao, S Christen, A Winkler, K Kitani… - arxiv preprint arxiv …, 2024 - arxiv.org
We present a method for controlling a simulated humanoid to grasp an object and move it to
follow an object trajectory. Due to the challenges in controlling a humanoid with dexterous …

RoHM: Robust Human Motion Reconstruction via Diffusion

S Zhang, BL Bhatnagar, Y Xu… - Proceedings of the …, 2024 - openaccess.thecvf.com
We propose RoHM an approach for robust 3D human motion reconstruction from monocular
RGB (-D) videos in the presence of noise and occlusions. Most previous approaches either …

Decaf: Monocular deformation capture for face and hand interactions

S Shimada, V Golyanik, P Pérez… - ACM Transactions on …, 2023 - dl.acm.org
Existing methods for 3D tracking from monocular RGB videos predominantly consider
articulated and rigid objects (eg, two hands or humans interacting with rigid environments) …