提升3D模型品質:從低品質模型進行高質量的紋理與幾何精修
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
高品質的3D資產對於電腦圖形學和3D視覺的各種應用至關重要,但由於高昂的獲取成本,這些資產仍然稀缺。為了解決這一短缺問題,我們引入了Elevate3D,這是一個新穎的框架,能夠將易於獲取的低品質3D資產轉化為更高品質的資產。Elevate3D的核心是HFS-SDEdit,這是一種專門的紋理增強方法,能夠顯著提升紋理品質,同時保持外觀和幾何結構,並修復其退化問題。此外,Elevate3D以逐視圖的方式運作,交替進行紋理和幾何結構的優化。與以往大多忽略幾何結構優化的方法不同,我們的框架利用HFS-SDEdit優化後的圖像中的幾何線索,採用最先進的單目幾何預測器。這種方法確保了細緻且準確的幾何結構,能夠與增強後的紋理無縫對齊。Elevate3D在3D模型優化方面超越了最近的競爭對手,達到了最先進的品質,有效解決了高品質開源3D資產稀缺的問題。
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.