CAD

• https://www.research.autodesk.com/publications/hg-cad/
• [2021 ICCV]DeepCAD: A deep generative network for computer-aided design models

Simulation

• [2020]Incremental potential contact: intersection-and inversion-free, large-deformation dynamics.
• [2024 ]LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures
• [2024]https://developer.nvidia.com/blog/using-graph-neural-networks-for-additive-manufacturing/

Mesh

• [2019 CVPR]DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
• [2019 CVPR]Occupancy networks: Learning 3d reconstruction in function space
• [2021 ICLR]Learning Mesh-Based Simulation with Graph Networks

Point cloud

• [2017 CVPR]PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
• [2017 Neurips]PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
• [2020]Point2Mesh: A Self-Prior for Deformable Meshes

By Classes

• Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

B-rep

• [2021 CVPR]BRepNet: A topological message passing system for solid models
• Physics-informed Neural Networks for Mechanical Design Optimization