activity
20212026
most citedSyncDreamer: Generating Multiview-consistent Images from a Single-view Image

51 citations · 120 across the 35 of their papers we have counts for

collaborators

40 papers

cs.GR2026

MoSAT: Human Motion Generation from Spatial Audio and Textual Description

Shuyang Xu, Zhiyang Dou, Yiduo Hao +8

Human motion is shaped by both external acoustic events and behavioral intent: spatial audio conveys environmental cues that elicit or guide a response, while text specifies the de…

cs.CV2026

Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

Rui Xu, Dafei Qin, Kaichun Qiao +8

Recent advancements in autoregressive transformers have demonstrated remarkable potential for generating artist-quality meshes. However, the token ordering strategies employed by e…

cs.GR2026

SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces

Chuanxiang Yang, Junhui Hou, Yuan Liu +5

Implicit neural representations are powerful for geometric modeling, but their practical use is often limited by the high computational cost of network evaluations. We observe that…

cs.CV2026

UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animation

Chengfeng Zhao, Junbo Qi, Yulou Liu +6

Simulating physically realistic garment deformations is an essential task for virtual immersive experience, which is often achieved by physics simulation methods. However, these me…

cs.CV2026

EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation

Libo Zhang, Zekun Li, Tianyu Li +10

Humans exhibit adaptive, context-sensitive responses to egocentric visual input. However, faithfully modeling such reactions from egocentric video remains challenging due to the du…

cs.GR2025★ 2 cited

MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization

Ningna Wang, Rui Xu, Yibo Yin +4

We propose a novel optimization framework for computing the medial axis transform that simultaneously preserves the medial structure and ensures high medial mesh quality. The media…