| --- |
| license: apache-2.0 |
| tags: |
| - cad |
| - brep |
| - 3d-generation |
| - diffusion |
| model_name: HiFi-BRep |
| --- |
| |
| # HiFi-BRep |
|
|
| Checkpoints for **HiFi-BRep: High-Fidelity Latent Representation for Robust B-Rep Generation**. |
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| [GitHub](https://github.com/1nnoh/HiFi-BRep) · [CVPR 2026](https://openaccess.thecvf.com/content/CVPR2026/papers/Hou_HiFi-BRep_High-Fidelity_Latent_Representation_for_Robust_B-Rep_Generation_CVPR_2026_paper.pdf) · [arXiv](https://arxiv.org/abs/2608.16485) · [HuggingFace](https://huggingface.co/1nnoh/HiFi-BRep) · [ModelScope](https://www.modelscope.cn/models/innohou/HiFi-BRep) |
|
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| ## Inference Checkpoints |
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|
| | Variant | Dataset | Faces | Decoder | Diffusion | State | |
| | --- | --- | ---: | --- | --- | --- | |
| | `4-30` | DeepCAD | 4–30 | `deepcad/hifi-brep-decoder-4-30.pt` | `deepcad/hifi-brep-diffusion-4-30.pt` | online | |
| | `7-30` | DeepCAD | 7–30 | `deepcad/hifi-brep-decoder-7-30.pt` | `deepcad/hifi-brep-diffusion-7-30.pt` | online | |
| | `abc-4-50` | ABC | 4–50 | `abc/hifi-brep-decoder-4-50.pt` | `abc/hifi-brep-diffusion-4-50.pt` | EMA | |
|
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| HuggingFace: |
|
|
| ```bash |
| hf download 1nnoh/HiFi-BRep \ |
| --include "deepcad/*.pt" "abc/*.pt" \ |
| --local-dir checkpoints |
| ``` |
|
|
| ModelScope: |
|
|
| ```bash |
| python -m pip install modelscope-hub==0.1.8 |
| modelscope download innohou/HiFi-BRep \ |
| --include "deepcad/*.pt" "abc/*.pt" \ |
| --local-dir checkpoints |
| ``` |
|
|
| ## Full-VAE Checkpoints |
|
|
| | Variant | Dataset | State | Checkpoint | |
| | --- | --- | --- | --- | |
| | `4-30` | DeepCAD | online | `training/deepcad/hifi-brep-vae-4-30-online.pt` | |
| | `7-30` | DeepCAD | online | `training/deepcad/hifi-brep-vae-7-30-online.pt` | |
| | `abc-4-50` | ABC | EMA | `training/abc/hifi-brep-vae-4-50-ema.pt` | |
|
|
| HuggingFace: |
|
|
| ```bash |
| hf download 1nnoh/HiFi-BRep \ |
| --include "training/*/*.pt" \ |
| --local-dir checkpoints |
| ``` |
|
|
| ModelScope: |
|
|
| ```bash |
| python -m pip install modelscope-hub==0.1.8 |
| modelscope download innohou/HiFi-BRep \ |
| --include "training/*/*.pt" \ |
| --local-dir checkpoints |
| ``` |
|
|
| ## Usage |
|
|
| See the repository documentation for [inference](https://github.com/1nnoh/HiFi-BRep#inference-demo), [evaluation](https://github.com/1nnoh/HiFi-BRep/blob/main/docs/EVALUATION.md), [training](https://github.com/1nnoh/HiFi-BRep/blob/main/docs/TRAINING.md), and [data preparation](https://github.com/1nnoh/HiFi-BRep/blob/main/docs/DATA.md). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{hou2026hifi, |
| title={HiFi-BRep: High-Fidelity Latent Representation for Robust B-Rep Generation}, |
| author={Hou, Junhao and Luo, Chenqi and Wang, Pufan and Lu, Jiaying and Liu, Yusheng and Qin, Feiwei and Fang, Meie and Zhou, Kun}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
| pages={27199--27208}, |
| year={2026} |
| } |
| ``` |
|
|
| ## License |
|
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| The code and model artifacts use Apache-2.0. Datasets and third-party dependencies remain subject to their own terms. |
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