AutoRegressive Generation with B-rep Holistic Token Sequence Representation
Paper • 2601.16771 • Published
Inference-only pretrained weights for BrepARG (CVPR 2026).
Each checkpoint contains only model_state_dict (no optimizer or training metadata).
| File | Description |
|---|---|
checkpoint/weights/abc_ar.pt |
AR model for ABC |
checkpoint/weights/abc_vqvae.pt |
SE VQ-VAE for ABC (codebook=8192) |
checkpoint/weights/deepcad_ar.pt |
AR model for DeepCAD |
checkpoint/weights/deepcad_vqvae.pt |
SE VQ-VAE for DeepCAD (codebook=4096) |
pip install -U huggingface_hub
huggingface-cli download qingtiannihao/BrepARG \
checkpoint/weights/abc_ar.pt \
checkpoint/weights/abc_vqvae.pt \
checkpoint/weights/deepcad_ar.pt \
checkpoint/weights/deepcad_vqvae.pt \
--local-dir . \
--local-dir-use-symlinks False
This creates checkpoint/weights/*.pt under your project root.
@article{li2026autoregressive,
title={AutoRegressive Generation with B-rep Holistic Token Sequence Representation},
author={Li, Jiahao and Bai, Yunpeng and Dai, Yongkang and Guo, Hao and Gan, Hongping and Shi, Yilei},
journal={arXiv preprint arXiv:2601.16771},
year={2026}
}