1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation
Qilin Wang, Jiangning Zhang, Chengming Xu +7
Facial Appearance Editing (FAE) aims to modify physical attributes, such as pose, expression and lighting, of human facial images while preserving attributes like identity and back…
cs.CV2024
TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation
Yufei Liu, Junwei Zhu, Junshu Tang +6
Texturing 3D humans with semantic UV maps remains a challenge due to the difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D advancements in supervising multi…