Automatic assembly modeling through attention-based assembly feature mate prediction and assembly feature pattern recognition
cs.CV, cs.CE, cs.GR
Submitted: 2026-10-10
Updated: 2026-10-10
Sources
- AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies
- Jigsaw: Learning to Assemble Multiple Fractured Objects
- Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion
- JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
- Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors
- Jigsaw++: Imagining Complete Shape Priors for Object Reassembly
- Generative 3D Part Assembly via Dynamic Graph Learning
- 3D Part Assembly Generation with Instance Encoded Transformer
- Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
- UV-Net: Learning from Boundary Representations
- BRepNet: A topological message passing system for solid models
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