Guardado en:
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2603.15436 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912968624570368 |
|---|---|
| author | Zhang, Zheng Zhang, Qinchuan Ye, Yuteng Chen, Zhi Ji, Penglei Li, Mengfei Zhang, Wenxiao Liu, Yuan |
| author_facet | Zhang, Zheng Zhang, Qinchuan Ye, Yuteng Chen, Zhi Ji, Penglei Li, Mengfei Zhang, Wenxiao Liu, Yuan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_15436 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts Zhang, Zheng Zhang, Qinchuan Ye, Yuteng Chen, Zhi Ji, Penglei Li, Mengfei Zhang, Wenxiao Liu, Yuan Computer Vision and Pattern Recognition 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. |
| title | MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2603.15436 |