TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization
This addresses the challenge of creating high-quality textures for 3D models, which is crucial for applications in computer graphics and virtual reality, representing an incremental improvement with novel optimizations.
This paper tackles the problem of generating delicate textures for known 3D meshes by optimizing UV textures, achieving superior performance in texture quality, detail preservation, visual consistency, and runtime speed compared to other methods.
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.