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TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

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arxiv 2403.15009 v1 pith:SJPSOFYD submitted 2024-03-22 cs.CV

classification cs.CV
keywords texrotexturetexturesdelicategeneratingmeshmethodmodels
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models

    cs.GR 2025-06 conditional novelty 6.0 of 10

    A video-diffusion pipeline conditioned on geometry maps, followed by component-wise UV inpainting, produces more coherent and seam-free textures for 3D meshes than Text2Tex, Paint3D, and Meshy in the reported tests.

  2. FlexPainter: Flexible and Multi-View Consistent Texture Generation

    cs.GR 2025-06 conditional novelty 6.0 of 10

    FlexPainter combines multi-view grid generation, UV-space view synchronization with a learned weighting network, and multi-modal embedding control to generate consistent, high-resolution textures from text and image prompts.

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