activity
20162022
most citedEmbodied Hands: Modeling and Capturing Hands and Bodies Together

1.1k citations · 1.7k across the 27 of their papers we have counts for

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cs.CV2022

MIME: Human-Aware 3D Scene Generation

Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi +3

Generating realistic 3D worlds occupied by moving humans has many applications in games, architecture, and synthetic data creation. But generating such scenes is expensive and labo…

cs.CV20222 cited

Fast-SNARF: A Fast Deformer for Articulated Neural Fields

Xu Chen, Tianjian Jiang, Jie Song +4

Neural fields have revolutionized the area of 3D reconstruction and novel view synthesis of rigid scenes. A key challenge in making such methods applicable to articulated objects,…

cs.CV20221 cited

SUPR: A Sparse Unified Part-Based Human Representation

Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas +1

Statistical 3D shape models of the head, hands, and fullbody are widely used in computer vision and graphics. Despite their wide use, we show that existing models of the head and h…

cs.CV2022

Capturing and Animation of Body and Clothing from Monocular Video

Yao Feng, Jinlong Yang, Marc Pollefeys +2

While recent work has shown progress on extracting clothed 3D human avatars from a single image, video, or a set of 3D scans, several limitations remain. Most methods use a holisti…

cs.CV2022

InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction

Yinghao Huang, Omid Tehari, Michael J. Black +1

Humans constantly interact with daily objects to accomplish tasks. To understand such interactions, computers need to reconstruct these from cameras observing whole-body interactio…

cs.CV2022

Neural Point-based Shape Modeling of Humans in Challenging Clothing

Qianli Ma, Jinlong Yang, Michael J. Black +1

Parametric 3D body models like SMPL only represent minimally-clothed people and are hard to extend to clothing because they have a fixed mesh topology and resolution. To address th…