MV2UV:利用多视角提示生成高质量UV纹理贴图 / MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts
1️⃣ 一句话总结
这篇论文提出了一种名为MV2UV的新方法,它巧妙地将多视角图像生成技术与UV贴图修复能力相结合,有效解决了3D模型纹理生成中常见的视角不一致和遮挡区域纹理缺失问题,从而生成更完整、更高质量的纹理贴图。
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.
MV2UV:利用多视角提示生成高质量UV纹理贴图 / MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts
这篇论文提出了一种名为MV2UV的新方法,它巧妙地将多视角图像生成技术与UV贴图修复能力相结合,有效解决了3D模型纹理生成中常见的视角不一致和遮挡区域纹理缺失问题,从而生成更完整、更高质量的纹理贴图。
源自 arXiv: 2603.15436