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English(EN) GLOSS: Geometric Local Self-Similarity Learning for Faithful Reference-Guided Texture Fill

新的GLOSS方法通过局部自相似性增强3D纹理生成

研究人员开发了GLOSS,一种用于3D模型纹理生成的新方法,该方法侧重于局部自相似性和几何-纹理相关性。该方法训练一个特定形状的网络,利用参考块填充纹理,与全局生成模型相比,提供了更大的艺术家控制力和灵活性。GLOSS系统已集成到Blender插件中,因其可控性和创意潜力而受到3D纹理专业人士的积极评价。 AI

影响 增强了3D纹理工作流程中艺术家的控制力和效率,可能加速内容创作。

排序理由 该集群包含一篇详细介绍计算机图形学中新纹理生成方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的GLOSS方法通过局部自相似性增强3D纹理生成

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该集群包含一篇详细介绍计算机图形学中新纹理生成方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chenyue Cai, Anita Hu, James Lucas, Szymon Rusinkiewicz, Masha Shugrina ·

    GLOSS:用于忠实参考引导纹理填充的几何局部自相似性学习

    arXiv:2608.25461v1 Announce Type: cross Abstract: Using conditional image generators, texture artists can explore many single-view looks for an existing 3D shape. Despite impressive progress, state-of-the-art generative methods still struggle to generate a full object texture whi…