4 papers
OMGTex: One-stage Multi-style Facial Texture Reconstruction without Geometry Guidance
Zitong Xiao, Yuda Qiu, Zisheng Ye +1
We propose OMGTex, an end-to-end diffusion-based framework for reconstructing high-quality and editable facial UV textures from multi-style facial images. Existing texture reconstr…
TexSpot: 3D Texture Enhancement with Spatially-uniform Point Latent Representation
Ziteng Lu, Yushuang Wu, Chongjie Ye +7
High-quality 3D texture generation remains a fundamental challenge due to the view-inconsistency inherent in current mainstream multi-view diffusion pipelines. Existing representat…
LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
Jingzhi Bao, Hongze Chen, Lingting Zhu +10
Physically-based rendering (PBR) provides a principled standard for realistic material-lighting interactions in computer graphics. Despite recent advances in generating PBR texture…
AvatarTex: High-Fidelity Facial Texture Reconstruction from Single-Image Stylized Avatars
Yuda Qiu, Zitong Xiao, Yiwei Zuo +3
We present AvatarTex, a high-fidelity facial texture reconstruction framework capable of generating both stylized and photorealistic textures from a single image. Existing methods…