| --- |
| pipeline_tag: image-to-3d |
| license: apache-2.0 |
| --- |
| |
| # GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction |
|
|
| This repository provides the reconstructed meshes and resources for the paper [GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction](https://huggingface.co/papers/2509.18090), which presents an explicit voxel-based framework for accurate, detailed, and complete surface reconstruction. |
|
|
| * [\ud83d\udcda Paper](https://huggingface.co/papers/2509.18090) |
| * [\ud83c\udf10 Project Page](https://fictionarry.github.io/GeoSVR-project/) |
| * [\ud83d\udcbb Code](https://github.com/Fictionarry/GeoSVR) |
|
|
| ## Reconstruction on Tanks and Temples and DTU Datasets |
|
|
| Here we provide the reconstructed meshes of the paper's experiments from GeoSVR. |
|
|
| You can browse all the released meshes at: |
|
|
| - `meshes_complete/`: The complete meshes of the two datasets. |
|
|
| - `DTU_meshes_eval/`: The meshes on DTU datasets, with strict filtering strategy for evaluation. |
|
|
| - `TnT_meshes_eval/`: The meshes on TnT datasets, with strict filtering strategy for evaluation. |
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|
| Metrics shall be reproduced with the results with postfix of `_eval`. |
|
|
| ## Download |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| snapshot_download(repo_id="Fictionary/GeoSVR", cache_dir='./GeoSVR/results', local_dir ='./GeoSVR/results') |
| ``` |
| or use Git to clone this repository with LFS. |
|
|
| ## Citation |
| ```bibtex |
| @article{li2025geosvr, |
| title={GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction}, |
| author={Li, Jiahe and Zhang, Jiawei and Zhang, Youmin and Bai, Xiao and Zheng, Jin and Yu, Xiaohan and Gu, Lin}, |
| journal={Advances in Neural Information Processing Systems}, |
| year={2025} |
| } |
| ``` |
