BRepCLIP is the first contrastive pretraining framework that tokenizes BRep CAD geometry into surface and curve vocabularies and aligns the resulting embeddings with CLIP text and image encoders, reporting large gains in retrieval and zero-shot classification over point-based baselines.
Oscar: Open-set cad retrieval from a language prompt and a single image
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BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding
BRepCLIP is the first contrastive pretraining framework that tokenizes BRep CAD geometry into surface and curve vocabularies and aligns the resulting embeddings with CLIP text and image encoders, reporting large gains in retrieval and zero-shot classification over point-based baselines.