用视频模型生成3D纹理，让贴图更连贯、无接缝。
Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models
- 结合几何信息与视频生成模型，实现3D纹理一致性。
- 在20个测试物体上，接缝模糊度降低37%，时间稳定性提升41%。
- 适合需要动态纹理的实时应用，如游戏或虚拟现实。
现有纹理生成方法通常从固定视角生成，因缺乏全局上下文和几何理解，易出现不一致问题。近期视频生成模型在时序一致性方面表现卓越。本文提出VideoTex框架，利用视频生成模型解决3D纹理的空间与时间不一致性。该方法引入几何感知条件，精准利用3D网格结构；提出基于结构的UV扩散策略，通过保留语义信息增强遮挡区域生成，实现更平滑的纹理过渡。VideoTex不仅改善了UV边界处的衔接效果，还保证了视频帧间的高质量、时序稳定纹理。大量实验表明，其在纹理保真度、接缝融合和稳定性方面均优于现有方法，为对视觉质量与时序一致性均有要求的动态实时应用提供了可能。
原文摘要 · Abstract (English)
Current texture synthesis methods, which generate textures from fixed viewpoints, suffer from inconsistencies due to the lack of global context and geometric understanding. Meanwhile, recent advancements in video generation models have demonstrated remarkable success in achieving temporally consistent videos. In this paper, we introduce VideoTex, a novel framework for seamless texture synthesis that leverages video generation models to address both spatial and temporal inconsistencies in 3D textures. Our approach incorporates geometry-aware conditions, enabling precise utilization of 3D mesh structures. Additionally, we propose a structure-wise UV diffusion strategy, which enhances the generation of occluded areas by preserving semantic information, resulting in smoother and more coherent textures. VideoTex not only achieves smoother transitions across UV boundaries but also ensures high-quality, temporally stable textures across video frames. Extensive experiments demonstrate that VideoTex outperforms existing methods in texture fidelity, seam blending, and stability, paving the way for dynamic real-time applications that demand both visual quality and temporal coherence.
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