| | --- |
| | license: mit |
| | language: |
| | - en |
| | tags: |
| | - 3d |
| | - wireframe |
| | - curve |
| | --- |
| | |
| |
|
| | This repo hosts the processed data of the [ABC](https://deep-geometry.github.io/abc-dataset/) dataset for the paper **CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation (ACM SIGGRAPH 2025)**. |
| | Please refer to the [project homepage](https://vcc.tech/research/2025/CLRWire), [arxiv page](https://www.arxiv.org/abs/2504.19174) and [github repo](https://github.com/qixuema/CLR-Wire) for more details. |
| |
|
| | # Dataset details |
| | We first download the .step, then we turn the .step files into .npz *curve wireframe* using [pythonocc](https://github.com/tpaviot/pythonocc-core). We set the maximum number of curves to 128. Please refer to our GitHub repository for instructions on downloading, extracting the files. |
| |
|
| | # Citation Information |
| | @inproceedings{CLRWire, |
| | title = {CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation}, |
| | author = {Xueqi Ma and Yilin Liu and Tianlong Gao and Qirui Huang and Hui Huang}, |
| | booktitle = {ACM SIGGRAPH}, |
| | pages = {}, |
| | year = {2025}, |
| | } |
| | @inproceedings{ABC, |
| | author = {Sebastian Koch and Albert Matveev and Zhongshi Jiang and Francis Williams and Alexey Artemov and Evgeny Burnaev and Marc Alexa and Denis Zorin and Daniele Panozzo}, |
| | title = {{ABC:} {A} Big {CAD} Model Dataset for Geometric Deep Learning}, |
| | booktitle = CVPR, |
| | pages = {9601--9611}, |
| | year = {2019} |
| | } |
