Hao Jiacheng — accepted AI-conference papers

2025

BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion

Hao Guo, Xiaoshui Huang, Hao jiacheng, Yunpeng Bai, Hongping Gan, Yilei Shi

CVPR 2025poster

Despite advancements in Computer-Aided-Design (CAD) generation, direct generation of complex Boundary Representation (B-rep) CAD models remains challenging. This difficulty arises from the parametric nature of B-rep data, complicating the encoding and generation of its geometric and topological info…

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2025

MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence

Liyuan Deng, Yunpeng Bai, Yongkang Dai, Xiaoshui Huang, Hongping Gan, Dongshuo Huang +2

ICCV 2025poster

Parametric Computer-Aided Design (CAD) is crucial in industrial applications, yet existing approaches often struggle to generate long sequence parametric commands due to complex CAD models' geometric and topological constraints. To address this challenge, we propose MamTiff-CAD, a novel CAD parametr…

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