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