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https://daveredrum.github.io/SceneTex/
[CVPR 2024 Highlight] SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
https://daveredrum.github.io/SceneTex/
3d aigc cv cvpr2024
Last synced: about 2 months ago
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[CVPR 2024 Highlight] SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
- Host: GitHub
- URL: https://daveredrum.github.io/SceneTex/
- Owner: daveredrum
- License: other
- Created: 2023-11-28T15:38:40.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-16T20:32:34.000Z (10 months ago)
- Last Synced: 2024-08-02T06:11:55.592Z (5 months ago)
- Topics: 3d, aigc, cv, cvpr2024
- Language: Python
- Homepage: https://daveredrum.github.io/SceneTex/
- Size: 214 MB
- Stars: 178
- Watchers: 6
- Forks: 6
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-cvpr-2024 - SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors - Ying Lee | [](https://github.com/daveredrum/SceneTex) [](https://ar5iv.labs.arxiv.org/html/2311.17261) | SceneTex generates high-quality indoor scene textures using depth-to-image diffusion priors. Key features include optimization in RGB space, multiresolution texture field, and cross-attention decoder for global style consistency. Experiments show it outperforms prior methods, but limitations include occasional artifacts and inability to handle complex geometry. | (🧨Diffusion)