This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optimal viewpoint selection strategy, that finds the most miniature set of viewpoints covering all the faces of a mesh. Our viewpoint selection strategy guarantees the completeness of a generated result. We propose a recursive optimization pipeline that optimizes a UV texture at increasing resolutions, with an adaptive denoising method that re-uses existing textures for new texture generation. Through extensive experimentation, we demonstrate the superior performance of TexRO in terms of texture quality, detail preservation, visual consistency, and, notably runtime speed, outperforming other current methods. The broad applicability of TexRO is further confirmed through its successful use on diverse 3D models.

该论文介绍了一种名为TexRO的新方法，通过优化UV纹理来生成已知3D网格的精细纹理。TexRO的关键贡献有两方面：提出了一种最优视点选择策略，通过选择最小的视点集来覆盖所有网格的面；提出了递归优化流程和自适应降噪方法，以增加分辨率优化UV纹理，并利用现有纹理生成新的纹理。通过广泛的实验证明了TexRO在纹理质量、细节保留、视觉一致性和运行速度等方面的卓越性能，超过了其他当前方法。TexRO在不同的3D模型上的成功应用进一步证实了其广泛适用性。

TexRO：通过递归优化生成3D模型的精细纹理