A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering
A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering explores A2Z is a comprehensive dataset for enhancing CAD modeling and reverse engineering through geometric deep learning.. Commercial viability score: 7/10 in Geometric Deep Learning.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisMasked BRep Autoencoder via Hierarchical Graph TransformerViability: 6.0
- Builds On ThisSldprtNet: A Large-Scale Multimodal Dataset for CAD Generation in Language-Driven 3D DesignViability: 6.0
- Builds On ThisBenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bendingViability: 6.0
- Builds On ThisA 3D Reconstruction Benchmark for Asset InspectionViability: 6.0
- Prior WorkTowards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding