Learning CAD Modeling Sequences via Projection and Part Awareness
Yang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng, Fang Deng
2025Year
2Top-tier citations
Abstract
This paper presents PartCAD, a novel framework for reconstructing CAD modeling sequences directly from point clouds by projection-guided, part-aware geometry reasoning. It consists of (1) an autoregressive approach that decomposes point clouds into part-aware latent representations, serving as interpretable anchors for
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Install the CLIlune papers fulltext c542338e-d090-4916-9765-310c08b0abe3Cited by top-tier papers2
- ReACT: Reward-informed Autoregressive Decision CAD TransformerYijie Ding, Yang Liu, Haobo Jiang, Jianmin ZhengAAAI 2026 · 1 citation
- Bidirectional Query-Driven Generation of Parametric CAD SketchYang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng et al.CVPR 2026
Builds on31
- Neural Sparse Voxel FieldsLingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua et al.NeurIPS 2020 · 1,535 citations
- DeepCAD: A Deep Generative Network for Computer-Aided Design ModelsRundi Wu, Chang Xiao, Changxi ZhengICCV 2021 · 290 citations
- Point2Mesh: a self-prior for deformable meshesRana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-OrSIGGRAPH 2020 · 243 citations
- Fusion 360 gallery: a dataset and environment for programmatic CAD construction from human design sequencesKarl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu et al.SIGGRAPH 2021 · 197 citations
- Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text PromptsMohammad Sadil Khan, Sankalp Sinha, Talha Uddin Sheikh, Didier Stricker et al.NeurIPS 2024 · 148 citations
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