1.1k citations · 3.7k across the 97 of their papers we have counts for
28 papers · 1 filter
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…
PointAvatar: Deformable Point-based Head Avatars from Videos
Yufeng Zheng, Wang Yifan, Gordon Wetzstein +2
The ability to create realistic, animatable and relightable head avatars from casual video sequences would open up wide ranging applications in communication and entertainment. Cur…
ECON: Explicit Clothed humans Optimized via Normal integration
Yuliang Xiu, Jinlong Yang, Xu Cao +2
The combination of deep learning, artist-curated scans, and Implicit Functions (IF), is enabling the creation of detailed, clothed, 3D humans from images. However, existing methods…
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Artur Grigorev, Bernhard Thomaszewski, Michael J. Black +1
We propose a method that leverages graph neural networks, multi-level message passing, and unsupervised training to enable real-time prediction of realistic clothing dynamics. Wher…
Generating Holistic 3D Human Motion from Speech
Hongwei Yi, Hualin Liang, Yifei Liu +5
This work addresses the problem of generating 3D holistic body motions from human speech. Given a speech recording, we synthesize sequences of 3D body poses, hand gestures, and fac…
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,…