README.md

metadata

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.

GitHub · CVPR 2026 · arXiv · HuggingFace · ModelScope

Inference Checkpoints

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

HuggingFace:

hf download 1nnoh/HiFi-BRep \
  --include "deepcad/*.pt" "abc/*.pt" \
  --local-dir checkpoints

ModelScope:

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:

hf download 1nnoh/HiFi-BRep \
  --include "training/*/*.pt" \
  --local-dir checkpoints

ModelScope:

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, evaluation, training, and data preparation.

Citation

@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

The code and model artifacts use Apache-2.0. Datasets and third-party dependencies remain subject to their own terms.