1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SD2024
Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation
Jingyi Xu, Hieu Le, Zhixin Shu +3
Human emotional expression is inherently dynamic, complex, and fluid, characterized by smooth transitions in intensity throughout verbal communication. However, the modeling of suc…
cs.CV2024★ 1 cited
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos
Alfredo Rivero, ShahRukh Athar, Zhixin Shu +1
Creating controllable 3D human portraits from casual smartphone videos is highly desirable due to their immense value in AR/VR applications. The recent development of 3D Gaussian S…
cs.CV2023
Controllable Dynamic Appearance for Neural 3D Portraits
ShahRukh Athar, Zhixin Shu, Zexiang Xu +4
Recent advances in Neural Radiance Fields (NeRFs) have made it possible to reconstruct and reanimate dynamic portrait scenes with control over head-pose, facial expressions and vie…