genrecon
Research code for GenRecon, a method that uses generative priors to improve 3D scene reconstruction from multiple views. It accompanies an academic paper.
Share on XLicense: MIT
Overview
GenRecon is the research code for a paper on high-fidelity 3D scene reconstruction from multi-view RGB images. It ties reconstruction closely to a strong generative 3D prior by treating scene reconstruction as conditional 3D generation over spatially localized, overlapping chunks that together tile the scene. This lets generation scale to large scenes. The authors are from the Technical University of Munich and Huawei Technologies Switzerland.
Key features
- Multi-view RGB images to 3D scene reconstruction
- Uses a generative 3D prior
- Generates overlapping chunks that tile the scene
Best for
Researchers following work on generative priors for 3D reconstruction who want to read or run the paper's code. The README excerpt gives no install details.
- Upstream
- kasothaphie/GenRecon
- Fork on GitHub
- Guo-astro/genrecon
- Upstream stars
- 1.0k
- Category
- Finance, data and research
- Language
- Python
- License
- MIT
- Forked
- 2026-06-09
- Sync status
- In syncLast synced 2026-10-16
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