7 papers
UVFaceFusion: Fast Multi-view Topologically Consistent Face Reconstruction in the Wild via UV-space Neural Fusion
Xin Ming, Yuxuan Han, Junhai Yong +1
Reconstructing high-fidelity facial geometry with an assigned topology is essential for digital avatar creation and animation, yet existing automated methods often trade off geomet…
Learning a Delighting Prior for Facial Appearance Capture in the Wild
Yuxuan Han, Xin Ming, Tianxiao Li +4
High-quality facial appearance capture has traditionally required costly studio recording. Recent works consider an in-the-wild smartphone-based setup; however, their model-based i…
WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse Rendering
Yuxuan Han, Xin Ming, Tianxiao Li +4
Existing methods achieve high-quality facial albedo capture under controllable lighting, which increases capture cost and limits usability. We propose WildCap, a novel method for h…
High-Quality Facial Geometry and Appearance Capture at Home
Yuxuan Han, Junfeng Lyu, Feng Xu
Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios. Recent works propose to democratize this technique while keeping…
VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the Wild
Xin Ming, Yuxuan Han, Tianyu Huang +1
Reconstructing topologically consistent facial geometry is crucial for the digital avatar creation pipelines. Existing methods either require tedious manual efforts, lack generaliz…
Facial Appearance Capture at Home with Patch-Level Reflectance Prior
Yuxuan Han, Junfeng Lyu, Kuan Sheng +4
Existing facial appearance capture methods can reconstruct plausible facial reflectance from smartphone-recorded videos. However, the reconstruction quality is still far behind the…