High-Fidelity Texture Transfer Using Multi-Scale Depth-Aware Diffusion

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dc.contributor.authorLin, Rongzhenen_US
dc.contributor.authorChen, Zichongen_US
dc.contributor.authorHao, Xiaoyongen_US
dc.contributor.authorZhou, Yangen_US
dc.contributor.authorHuang, Huien_US
dc.contributor.editorWang, Beibeien_US
dc.contributor.editorWilkie, Alexanderen_US
dc.date.accessioned2025-06-20T07:54:12Z
dc.date.available2025-06-20T07:54:12Z
dc.date.issued2025
dc.description.abstractTextures are a key component of 3D assets. Transferring textures from one shape to another, without user interaction or additional semantic guidance, is a classical yet challenging problem. It can enhance the diversity of existing shape collections, augmenting their application scope. This paper proposes an innovative 3D texture transfer framework that leverages the generative power of pre-trained diffusion models. While diffusion models have achieved significant success in 2D image generation, their application to 3D domains faces great challenges in preserving coherence across different viewpoints. Addressing this issue, we designed a multi-scale generation framework to optimize the UV maps coarse-to-fine. To ensure multi-view consistency, we use depth info as geometric guidance; meanwhile, a novel consistency loss is proposed to further constrain the color coherence and reduce artifacts. Experimental results demonstrate that our multi-scale framework not only produces high-quality texture transfer results but also excels in handling complex shapes while preserving correct semantic correspondences. Compared to existing techniques, our method achieves improvements in both consistency and texture clarity, as well as time efficiency.en_US
dc.description.number4
dc.description.sectionheadersAppearance Modelling
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70172
dc.identifier.issn1467-8659
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70172
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70172
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Texturing
dc.subjectComputing methodologies → Texturing
dc.titleHigh-Fidelity Texture Transfer Using Multi-Scale Depth-Aware Diffusionen_US
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