--- license: cc-by-nc-4.0 size_categories: - n<1K pretty_name: CelloCut Benchmark viewer: false task_categories: - other tags: - 3d - mesh - benchmark - geometry-processing - shape-completion - watertight-mesh --- # CelloCut Benchmark [**Project Page**](https://rangeryx-66.github.io/CelloCut/) | [**Paper**](https://huggingface.co/papers/2605.17853) | [**Code**](https://github.com/rangeryx-66/CelloCut) This repository contains the benchmark data and evaluation scripts used for **CelloCut: Constructive Watertight Remeshing via Tetrahedral Cell Cuts**. It is organized as two paired 3D mesh benchmarks: **CelloFill** and **CelloScan**. ## Directory Structure ```text CelloCut_Benchmark/ |-- CelloFill/ | |-- input/ # 110 input meshes, OBJ format | `-- gt/ # 110 ground-truth meshes, OBJ format |-- CelloScan/ | |-- input/ # 140 input meshes, OBJ format | `-- gt/ # 140 ground-truth meshes, PLY format `-- evaluation/ |-- geometric_metric/ `-- visual_metric/ ``` Files are matched by filename stem. For example, predictions for `CelloScan/input/12.obj` should be named `12.obj`, `12.ply`, or another supported mesh extension accepted by the evaluation script. ## Dataset Splits | Benchmark | Input directory | Ground truth directory | Cases | Input format | Ground truth format | | --- | --- | --- | ---: | --- | --- | | CelloFill | `CelloFill/input` | `CelloFill/gt` | 110 | OBJ | OBJ | | CelloScan | `CelloScan/input` | `CelloScan/gt` | 140 | OBJ | PLY | ## Evaluation Geometric metrics: ```bash python evaluation/geometric_metric/evaluate_geometry.py \ --gt-dir CelloScan/gt \ --pred-dir path/to/predictions \ --output-dir path/to/geometric_results ``` Visual metrics: ```bash python evaluation/visual_metric/evaluate_visual.py \ --gt-dir CelloFill/gt \ --pred-dir path/to/predictions \ --output-dir path/to/visual_results \ --blender blender ``` See `evaluation/README.md` for more details on the reported metrics and optional dependencies. ## Hugging Face Notes The benchmark uses mesh files (`.obj` and `.ply`). These are distributed as repository files and are not expected to be rendered by the Hugging Face Dataset Viewer. Download the repository files directly, then run the evaluation scripts above. ## License The benchmark data and evaluation scripts are released under the Creative Commons Attribution-NonCommercial 4.0 International License. See `LICENSE` for details. If any included asset is derived from a third-party source with a more restrictive license, the original source license continues to apply to that asset. ## Citation ```bibtex @article{yang2026cellocut, title = {CelloCut: Constructive Watertight Remeshing via Tetrahedral Cell Cuts}, author = {Yang, Xuan and Zeng, Yuhang and Fang, Dinglong and Tang, Guochuan and Jiang, Jiaju and Li, Ben and Zhou, Wei and Long, Xiao-Xiao and Lin, Cheng}, journal = {arXiv preprint arXiv:2605.17853}, year = {2026}, url = {https://arxiv.org/abs/2605.17853} } ```