Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
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Abstract (arXiv)
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.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 40 of its 71 references that are in the map. First posted on arXiv 15 Jul 2025.
Builds on
40 of 71 references.
References · 40
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28 more
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Built on by
Citing papers per year: 2025: 5; 2026: 3.
8 papers.
- 2025VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video Diffusion Modelscited by 8
- 2025SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Trainingcited by 7
- 2025CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generationcited by 3
- 2025Fast3Dcache: Training-free 3D Geometry Synthesis Accelerationcited by 3
- 2025Self-Evolving 3D Scene Generation from a Single Imagecited by 3
- 2026Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Samplingcited by 1
- 2026HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priorscited by 0
- 2026NOFACE3D: NOise-scheduled Focused Anchoring and Controlled Enhancement for 3D Generationcited by 0
- 2026NOFACE3D: NOise-scheduled Focused Anchoring and Controlled Enhancement for 3D Generation9 Oct 2026
- 2026HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors24 Jun 2026
- 2026Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling22 Feb 2026
- 2025Self-Evolving 3D Scene Generation from a Single Image9 Dec 2025
- 2025SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training5 Dec 2025
- 2025Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration27 Nov 2025
- 2025CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation26 Nov 2025
- 2025VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video Diffusion Models22 Sep 2025