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SolidGeoSolver

A unified neural-symbolic framework for solving plane and solid geometric problems via Parse2Reason & Official repository for the CVPR 2026 paper Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning.

Install / Use

/learn @CHYYYYYYYY/SolidGeoSolver
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<p align="center"> <h1 style="display: inline-block; font-size: 24px; text-align: center; line-height: 1.5;"> <img src="./logo.png" alt="Logo" style="width: 45px; vertical-align: middle; margin-right: 10px;"> Hilbert-Geo: Solving Solid Geometric Problems<br> <span style="display: block; text-align: center; margin-left: -55px; padding-top: 4px;"> by Neural-Symbolic Reasoning </span> </h1> </p> <p align="center"> <a href="https://github.com/CHYYYYYYYY/SolidGeoSolver">🌐 Homepage</a> • <a href="https://github.com/CHYYYYYYYY/SolidGeoSolver">🥇 Leaderboard</a> • <a href="https://github.com/CHYYYYYYYY/SolidGeoSolver">📖 Paper</a> • <a href="https://github.com/CHYYYYYYYY/SolidGeoSolver">🤗 Data</a> </p>

News

<div style="max-height: 350px; overflow-y: auto; border: 1px solid #e0e0e0; border-radius: 8px; padding: 10px 15px; background-color: #fafafa; font-size: 12px;" markdown="1"> 2026.02: &nbsp;🎉🎉 Our paper "Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning" was accepted by CVPR2026. </div>

Structure

SolidGeoSolver/
├── api/
│   ├── base.py
│   ├── claude_api.py
│   ├── gemini_api.py
│   └── openai_api.py
├── core/
│   ├── fgps/
│   ├── gdl/
│   ├── files/
│   └── hilbert_geo/
└── data/
    └── hilbert_geo7k_v2/
  • api/ contains prompt-and-call helpers for model APIs.
  • core/hilbert_geo/ is the package.
  • core/gdl/ and core/files/t_info.json keep the predicate library, theorem bank, and theorem metadata with the core code.
  • data/hilbert_geo_v2/ contains sample subset for repository display and quick testing.

Quick Start

Install dependencies, you may need to manually download hilbertgeo in requirement.txt at present:

pip install -r requirements.txt

Run the interactive solver:

python core/fgps/run.py --func run

Run search:

python core/fgps/search.py --func search --method fw --strategy bfs

By default:

  • datasets are loaded from data/
  • logs are written to core/fgps/
  • GDL and theorem metadata are loaded from core/ when they are not present in the dataset folder

Notes

  • The Python package name is now hilbert_geo.
  • The repository display name used in docs is Hilbert-Geo.
  • The sample dataset folder is renamed to hilbert_geo_v2 and only includes the first 1000 problems.

✍️ Citation

If you use our work and are inspired by our work, please consider cite us (soon):

@inproceedings{xu2026hilbert,
  title={Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning},
  author={Xu, Ruoran and Cheng, Haoyu and Bin, Dong and Wang, Qiufeng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={XXXX--XXXX},
  year={2026},
  doi={10.XXXX/CVPR2026.XXXXXX},
  url={https://openaccess.thecvf.com/CVPR2026}
}
View on GitHub
GitHub Stars40
CategoryDevelopment
Updated27m ago
Forks2

Languages

Python

Security Score

75/100

Audited on Mar 31, 2026

No findings