73 citations · 184 across the 49 of their papers we have counts for
7 papers · 1 filter
Inter-X: Towards Versatile Human-Human Interaction Analysis
Liang Xu, Xintao Lv, Yichao Yan +10
The analysis of the ubiquitous human-human interactions is pivotal for understanding humans as social beings. Existing human-human interaction datasets typically suffer from inaccu…
EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction
Jingnan Gao, Zhuo Chen, Yichao Yan +4
Reconstructing real-world 3D objects has numerous applications in computer vision, such as virtual reality, video games, and animations. Ideally, 3D reconstruction methods should g…
Generalizable Person Search on Open-world User-Generated Video Content
Junjie Li, Guanshuo Wang, Yichao Yan +5
Person search is a challenging task that involves detecting and retrieving individuals from a large set of un-cropped scene images. Existing person search applications are mostly t…
Directional Texture Editing for 3D Models
Shengqi Liu, Zhuo Chen, Jingnan Gao +4
Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and…
HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks
Zhuo Chen, Xudong Xu, Yichao Yan +5
Portrait stylization is a long-standing task enabling extensive applications. Although 2D-based methods have made great progress in recent years, real-world applications such as me…
GANHead: Towards Generative Animatable Neural Head Avatars
Sijing Wu, Yichao Yan, Yunhao Li +5
To bring digital avatars into people's lives, it is highly demanded to efficiently generate complete, realistic, and animatable head avatars. This task is challenging, and it is di…
Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation
Yuhao Cheng, Yichao Yan, Wenhan Zhu +3
Head generation with diverse identities is an important task in computer vision and computer graphics, widely used in multimedia applications. However, current full head generation…