Research papers, datasets, and open-source projects
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Categories: application · benchmark · method · survey · system · theory
Latest papers
CADBench is a unified multimodal benchmark for evaluating AI-assisted CAD program generation from images and 3D data, covering 18,000 samples, five modalities, and six metrics.
FutureCAD uses LLMs and B-Rep grounding to generate high-fidelity CAD scripts from text, achieving state-of-the-art performance with a real-world dataset.
Hierarchical text-to-CAD framework using structure alignment and parameter grounding for improved structural consistency and parameter accuracy.
CADFit uses hybrid optimization to recover editable parametric CAD construction sequences from meshes, outperforming existing methods in accuracy and validity.
MUSE is a benchmark for Text-to-CAD generation that evaluates manufacturability, functionality, and assemblability of B-Rep assemblies using a VLM judge.
UniCAD introduces a unified benchmark and a multi-modal large language model for diverse CAD tasks, achieving state-of-the-art results.
Datasets
The field of Computer-Aided Design (CAD) generation has made significant progress in recent years. Existing methods typically fall into two separate categories: parametric CAD modeling and direct boundary representation (B-Rep) synthesis. I...
Projects
GitHub
😎 A list of awesome Computer-Aided Design (CAD) papers
GitHub
A curated list of awesome Neural Computer-Aided Design (CAD) papers.