most citedAnimatable and Relightable Gaussians for High-fidelity Human Avatar Modeling

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

MoReMouse: Monocular Reconstruction of Laboratory Mouse

Yuan Zhong, Jingxiang Sun, Zhongbin Zhang +2

Laboratory mice, particularly the C57BL/6 strain, are essential animal models in biomedical research. However, accurate 3D surface motion reconstruction of mice remains a significa…

cs.RO2025

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation

Ying Chai, Litao Deng, Ruizhi Shao +6

Accurate scene perception is critical for vision-based robotic manipulation. Existing approaches typically follow either a Vision-to-Action (V-A) paradigm, predicting actions direc…

cs.CV2023

Ins-HOI: Instance Aware Human-Object Interactions Recovery

Jiajun Zhang, Yuxiang Zhang, Hongwen Zhang +5

Accurately modeling detailed interactions between human/hand and object is an appealing yet challenging task. Current multi-view capture systems are only capable of reconstructing…

cs.CV2023

HHAvatar: Gaussian Head Avatar with Dynamic Hairs

Zhanfeng Liao, Yuelang Xu, Zhe Li +6

Creating high-fidelity 3D head avatars has always been a research hotspot, but it remains a great challenge under lightweight sparse view setups. In this paper, we propose HHAvatar…

cs.CV2023★ 5 cited

Animatable and Relightable Gaussians for High-fidelity Human Avatar Modeling

Zhe Li, Yipengjing Sun, Zerong Zheng +3

Modeling animatable human avatars from RGB videos is a long-standing and challenging problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent 3D hum…