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| 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. | |
| * [π Paper](https://huggingface.co/papers/2509.18090) | |
| * [π Project Page](https://fictionarry.github.io/GeoSVR-project/) | |
| * [π» 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. | |
| 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} | |
| } | |
| ``` |