Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908450732113920 |
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| author | Ryu, Nuri Won, Jiyun Son, Jooeun Gong, Minsu Lee, Joo-Haeng Cho, Sunghyun |
| author_facet | Ryu, Nuri Won, Jiyun Son, Jooeun Gong, Minsu Lee, Joo-Haeng Cho, Sunghyun |
| contents | High-quality 3D assets are essential for various applications in computer graphics and 3D vision but remain scarce due to significant acquisition costs. To address this shortage, we introduce Elevate3D, a novel framework that transforms readily accessible low-quality 3D assets into higher quality. At the core of Elevate3D is HFS-SDEdit, a specialized texture enhancement method that significantly improves texture quality while preserving the appearance and geometry while fixing its degradations. Furthermore, Elevate3D operates in a view-by-view manner, alternating between texture and geometry refinement. Unlike previous methods that have largely overlooked geometry refinement, our framework leverages geometric cues from images refined with HFS-SDEdit by employing state-of-the-art monocular geometry predictors. This approach ensures detailed and accurate geometry that aligns seamlessly with the enhanced texture. Elevate3D outperforms recent competitors by achieving state-of-the-art quality in 3D model refinement, effectively addressing the scarcity of high-quality open-source 3D assets. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11465 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model Ryu, Nuri Won, Jiyun Son, Jooeun Gong, Minsu Lee, Joo-Haeng Cho, Sunghyun Graphics Computer Vision and Pattern Recognition High-quality 3D assets are essential for various applications in computer graphics and 3D vision but remain scarce due to significant acquisition costs. To address this shortage, we introduce Elevate3D, a novel framework that transforms readily accessible low-quality 3D assets into higher quality. At the core of Elevate3D is HFS-SDEdit, a specialized texture enhancement method that significantly improves texture quality while preserving the appearance and geometry while fixing its degradations. Furthermore, Elevate3D operates in a view-by-view manner, alternating between texture and geometry refinement. Unlike previous methods that have largely overlooked geometry refinement, our framework leverages geometric cues from images refined with HFS-SDEdit by employing state-of-the-art monocular geometry predictors. This approach ensures detailed and accurate geometry that aligns seamlessly with the enhanced texture. Elevate3D outperforms recent competitors by achieving state-of-the-art quality in 3D model refinement, effectively addressing the scarcity of high-quality open-source 3D assets. |
| title | Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model |
| topic | Graphics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2507.11465 |