most citedSMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

29 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 29 cited

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

Zhongang Cai, Wanqi Yin, Ailing Zeng +10

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…

cs.CV2023★ 1 cited

Learning Dense UV Completion for Human Mesh Recovery

Yanjun Wang, Qingping Sun, Wenjia Wang +4

Human mesh reconstruction from a single image is challenging in the presence of occlusion, which can be caused by self, objects, or other humans. Existing methods either fail to se…

cs.CV2023★ 3 cited

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction

Wenjia Wang, Yongtao Ge, Haiyi Mei +6

As it is hard to calibrate single-view RGB images in the wild, existing 3D human mesh reconstruction (3DHMR) methods either use a constant large focal length or estimate one based…

cs.CV2023

AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

Xiaoyang Huang, Yanjun Wang, Yang Liu +4

Spatial audio, which focuses on immersive 3D sound rendering, is widely applied in the acoustic industry. One of the key problems of current spatial audio rendering methods is the…

cs.CV2022★ 3 cited

Representation-Agnostic Shape Fields

Xiaoyang Huang, Jiancheng Yang, Yanjun Wang +5

3D shape analysis has been widely explored in the era of deep learning. Numerous models have been developed for various 3D data representation formats, e.g., MeshCNN for meshes, Po…