29 citations · 46 across the 7 of their papers we have counts for
7 papers
Expressive Whole-Body 3D Gaussian Avatar
Gyeongsik Moon, Takaaki Shiratori, Shunsuke Saito
Facial expression and hand motions are necessary to express our emotions and interact with the world. Nevertheless, most of the 3D human avatars modeled from a casually captured vi…
URHand: Universal Relightable Hands
Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo +20
Existing photorealistic relightable hand models require extensive identity-specific observations in different views, poses, and illuminations, and face challenges in generalizing t…
Single-Image 3D Human Digitization with Shape-Guided Diffusion
Badour AlBahar, Shunsuke Saito, Hung-Yu Tseng +3
We present an approach to generate a 360-degree view of a person with a consistent, high-resolution appearance from a single input image. NeRF and its variants typically require vi…
Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration
Jingfan Guo, Fabian Prada, Donglai Xiang +5
Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world…
A Dataset of Relighted 3D Interacting Hands
Gyeongsik Moon, Shunsuke Saito, Weipeng Xu +12
The two-hand interaction is one of the most challenging signals to analyze due to the self-similarity, complicated articulations, and occlusions of hands. Although several datasets…
NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects
Taeksoo Kim, Shunsuke Saito, Hanbyul Joo
Deep generative models have been recently extended to synthesizing 3D digital humans. However, previous approaches treat clothed humans as a single chunk of geometry without consid…