GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback
Generating executable CAD programs from images requires alignment between visual geometry and symbolic program representations, a capability that current methods fail to learn reliably as design complexity increases. Existing fine-tuning approaches rely on either limited supervised datasets or expensive post-training pipelines, resulting in brittle systems that restrict progress in generative CAD design. We argue that the primary bottleneck lies not in model or algorithmic capacity, but in the s
Record details
Published: 28 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (28 March 2026), “GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback,” evidence record 6629, https://ethics.ai/record/6629 (originally published by arXiv).
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