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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…