12 citations · 13 across the 9 of their papers we have counts for
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cs.CV2026
ConCAD: Constraint-Aware Image-to-CAD Generation with Dual-Granularity Rewards
Chenxi Zhai, Xi Cheng, Hang Cheng +5
Image-to-CAD generation seeks executable parametric programs that recover both the geometry and design intent of a reference object. Existing systems are commonly evaluated by vali…
cs.CV2026
DIP-CAD: A Design-Intent-Preserving Agent Harness for Parametric CAD Modeling
Xi Cheng, Chenxi Zhai, Hang Cheng +3
Parametric CAD modeling requires not only matching the target shape, but also preserving design intent under parameter edits. However, most existing methods focus on improving stat…
cs.CV2026
PureCC: Pure Learning for Text-to-Image Concept Customization
Zhichao Liao, Xiaole Xian, Qingyu Li +7
Existing concept customization methods have achieved remarkable outcomes in high-fidelity and multi-concept customization. However, they often neglect the influence on the original…