3D Garments: Reconstructing Topologically Correct Geometry and High-Quality Texture from Two Garment Images

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dc.contributor.authorHeße, Lisaen_US
dc.contributor.authorYadav, Sunilen_US
dc.contributor.editorCeylan, Duyguen_US
dc.contributor.editorLi, Tzu-Maoen_US
dc.date.accessioned2025-05-09T09:36:23Z
dc.date.available2025-05-09T09:36:23Z
dc.date.issued2025
dc.description.abstractWe present a fully integrated pipeline for generating topologically correct 3D meshes and high-fidelity textures of fashion garments. Our geometry reconstruction module takes two input images and employs a semi-signed distance field representation with shifted generalized winding numbers in a deep-learning framework to produce accurate, non-watertight meshes. To create realistic, high-resolution textures (up to 4K) that closely match the input, we combine diffusion-based inpainting with a differentiable renderer, further enhancing the quality through normal-guided projection to minimize projection distortions in the texture image. Our results demonstrate both precise geometry and richly detailed textures. In addition, we are making a portion of our high-quality training dataset publicly available, consisting of 250 lower-garment triangulated meshes with 4K textures.en_US
dc.description.sectionheadersShort Paper 4
dc.description.seriesinformationEurographics 2025 - Short Papers
dc.identifier.doi10.2312/egs.20251047
dc.identifier.isbn978-3-03868-268-4
dc.identifier.issn1017-4656
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20251047
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egs20251047
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Computer Graphics, Artificial Intelligence
dc.subjectComputing methodologies → Computer Graphics
dc.subjectArtificial Intelligence
dc.title3D Garments: Reconstructing Topologically Correct Geometry and High-Quality Texture from Two Garment Imagesen_US
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