提升3D模型质量:从低质量模型实现高精度纹理与几何优化
Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
July 15, 2025
作者: Nuri Ryu, Jiyun Won, Jooeun Son, Minsu Gong, Joo-Haeng Lee, Sunghyun Cho
cs.AI
摘要
高质量的三维资产在计算机图形学和三维视觉的多种应用中至关重要,但由于高昂的获取成本,这类资源依然稀缺。为解决这一短缺问题,我们推出了Elevate3D,这是一个创新框架,旨在将易于获取的低质量三维资产转化为更高品质。Elevate3D的核心是HFS-SDEdit,一种专为纹理增强设计的方法,它显著提升了纹理质量,同时修复了退化问题,保持了外观与几何结构的一致性。此外,Elevate3D采用逐视图操作的方式,交替进行纹理与几何优化。与以往大多忽视几何优化的方法不同,我们的框架通过运用最先进的单目几何预测器,利用经HFS-SDEdit优化的图像中的几何线索,确保了细节丰富且精确的几何结构,使其与增强后的纹理无缝对齐。Elevate3D在三维模型优化方面超越了近期竞争对手,达到了业界领先的质量水平,有效缓解了高质量开源三维资产的匮乏状况。
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.