English

MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts

Computer Vision and Pattern Recognition 2026-03-17 v1

Abstract

Generating high-quality textures for 3D assets is a challenging task. Existing multiview texture generation methods suffer from the multiview inconsistency and missing textures on unseen parts, while UV inpainting texture methods do not generalize well due to insufficient UV data and cannot well utilize 2D image diffusion priors. In this paper, we propose a new method called MV2UV that combines 2D generative priors from multiview generation and the inpainting ability of UV refinement to get high-quality texture maps. Our key idea is to adopt a UV space generative model that simultaneously inpaints unseen parts of multiview images while resolving the inconsistency of multiview images. Experiments show that our method enables a better texture generation quality than existing methods, especially in unseen occluded and multiview-inconsistent parts.

Keywords

Cite

@article{arxiv.2603.15436,
  title  = {MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts},
  author = {Zheng Zhang and Qinchuan Zhang and Yuteng Ye and Zhi Chen and Penglei Ji and Mengfei Li and Wenxiao Zhang and Yuan Liu},
  journal= {arXiv preprint arXiv:2603.15436},
  year   = {2026}
}
R2 v1 2026-07-01T11:22:31.523Z