53 citations · 106 across the 24 of their papers we have counts for
Showing cs.GRShow all
3 papers · 1 filter
cs.GR2026
Landmark Guided 4D Facial Expression Generation
Xin Lu, Zhengda Lu, Yiqun Wang +1
In this paper, we proposed a generative model that learns to synthesize the 4D facial expression with the neutral landmark. Existing works mainly focus on the generation of sequenc…
cs.GR2026
FC-4DFS: Frequency-controlled Flexible 4D Facial Expression Synthesizing
Xin Lu, Chuanqing Zhuang. Zhengda Lu, Yiqun Wang +1
4D facial expression synthesizing is a critical problem in the fields of computer vision and graphics. Current methods lack flexibility and smoothness when simulating the inter-fra…
cs.GR2026
OMEGA-Avatar: One-shot Modeling of 360° Gaussian Avatars
Zehao Xia, Yiqun Wang, Zhengda Lu +3
Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified three desirable attributes of avatar generation: 1) the method shoul…