Elevating 3D Models: High-Quality Texture and Geometry Refinement from a
  Low-Quality Model
Authors: name: Nuri Ryu, name: Jiyun Won, name: Jooeun Son, name: Minsu Gong, name: Joo-Haeng Lee, name: Sunghyun Cho

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.