将低质量3D模型升级为高质量，纹理几何同步优化。
Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
- 分步迭代优化纹理与几何，利用图像修复增强几何细节。
- 在Blender、ShapeNet等数据集上显著提升纹理清晰度与几何精度。
- 适合需要高质量3D资产但缺乏预算的创作者与研究人员。
高质量3D资产在计算机图形学与3D视觉中至关重要，但因获取成本高而稀缺。为此，我们提出Elevate3D框架，将易得的低质量3D资产升级为更高品质。核心是HFS-SDEdit——一种专用纹理增强方法，在保留外观与几何结构的同时修复退化问题。Elevate3D采用逐视图交替策略，先优化纹理，再利用图像增强结果，结合先进的单目几何预测器进行几何精修。该方法有效融合几何线索，生成与纹理高度一致的精细几何结构。在Blender、ShapeNet等数据集上，Elevate3D优于近期竞争方法，达到3D模型精修的最先进水平，显著缓解高质量开源3D资产匮乏问题。
原文摘要 · Abstract (English)
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.
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