2 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
EGGHead: Efficient Generalizable Gaussian Heads from a Single Image
Pilseo Park, Andrew Hou, Michel Sarkis +3
Creating photorealistic human heads typically involves trade-offs between representation power, efficiency, and generalizability. Traditional mesh-based solutions relying on 3DMMs…
Learning Semantic Inpainting for Animatable Gaussian Head Avatars
Pilseo Park, Fizza Rubab, Yiying Tong
We present SInGA, a novel method for learning Semantic Inpainting for animatable Gaussian head Avatars from a single image. Existing avatar approaches often rely on multi-view obse…
INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields
Andrew Hou, Feng Liu, Zhiyuan Ren +4
We propose INFAMOUS-NeRF, an implicit morphable face model that introduces hypernetworks to NeRF to improve the representation power in the presence of many training subjects. At t…
Face Relighting with Geometrically Consistent Shadows
Andrew Hou, Michel Sarkis, Ning Bi +2
Most face relighting methods are able to handle diffuse shadows, but struggle to handle hard shadows, such as those cast by the nose. Methods that propose techniques for handling h…
Towards High Fidelity Face Relighting with Realistic Shadows
Andrew Hou, Ze Zhang, Michel Sarkis +3
Existing face relighting methods often struggle with two problems: maintaining the local facial details of the subject and accurately removing and synthesizing shadows in the relit…