activity
20182020
most citedLearning to Infer Implicit Surfaces without 3D Supervision

88 citations · 291 across the 10 of their papers we have counts for

collaborators

12 papers

cs.GR2020

Dynamic Facial Asset and Rig Generation from a Single Scan

Jiaman Li, Zhengfei Kuang, Yajie Zhao +3

The creation of high-fidelity computer-generated (CG) characters used in film and gaming requires intensive manual labor and a comprehensive set of facial assets to be captured wit…

cs.CV202074 cited

Learning to Generate Diverse Dance Motions with Transformer

Jiaman Li, Yihang Yin, Hang Chu +4

With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well chore…

cs.CV20204 cited

Monocular Real-Time Volumetric Performance Capture

Ruilong Li, Yuliang Xiu, Shunsuke Saito +3

We present the first approach to volumetric performance capture and novel-view rendering at real-time speed from monocular video, eliminating the need for expensive multi-view syst…

cs.CV202020 cited

Generative Tweening: Long-term Inbetweening of 3D Human Motions

Yi Zhou, Jingwan Lu, Connelly Barnes +3

The ability to generate complex and realistic human body animations at scale, while following specific artistic constraints, has been a fundamental goal for the game and animation…

cs.CV20202 cited

Intuitive, Interactive Beard and Hair Synthesis with Generative Models

Kyle Olszewski, Duygu Ceylan, Jun Xing +4

We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challeng…

cs.GR202012 cited

ARCH: Animatable Reconstruction of Clothed Humans

Zeng Huang, Yuanlu Xu, Christoph Lassner +2

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a m…