A curated list of CAD Generation papers, inspired by Awesome-AIGC-3D.
from Geometric Deep Learning for Computer-Aided Design: A Survey.
- Geometric Deep Learning for Computer-Aided Design: A Survey
- 3D Generative Models: A Survey
- Advances in 3D Generation: A Survey
- MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper
-CAD-LLM: Large Language Model for CAD Generation -SketchGen: Generating Constrained CAD Sketches
- MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
- SolidGen: An Autoregressive Model for Direct B-rep Synthesis
- BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry
- Brep2Seq: a dataset and hierarchical deep learning network for reconstruction and generation of computer-aided design models
- PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs
- UV-Net: Learning from Boundary Representations
- ABC Dataset A Big CAD Model Dataset For Geometric Deep Learning
- ShapeNet: An Information-Rich 3D Model Repository
- Objaverse: A Universe of 10M+ 3D Objects
- SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
- Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
- DeepCAD: A Deep Generative Network for Computer-Aided Design Models