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Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation

Paper recorded by Signals 4 on 2026-11-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.CV · 计算机视觉 · first seen 2026-11-03

Abstract

Text-to-CAD generation aims to make CAD modeling more accessible by generating executable CAD programs from natural-language descriptions. However, practical CAD workflows require more than executable geometry: generated programs should also expose reusable structure that supports later modification. We introduce intent-oriented text-to-CAD generation, where design intent is expressed as recoverab

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#26 most recent of 710 cs.CV papers we have recorded · ↑ newer: Bg-Mix: On Using Image Backgrounds for Data Augmentation in Electron M · ↓ older: Align Once to Explain: Feature Alignment for Scalable B-cosification o
Cite this page: Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation: the #26 most recent of 710 cs.CV papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/intent2cad-how-semantic-parametric-supervision-shapes-text-to-cad-generation.html
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