COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami
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[Submitted on 24 Jun 2026]
Summary
This paper presents COrigami, an end-to-end AI-driven pipeline for co-designing flat-foldable origami crease patterns from natural language descriptions. The system integrates multiple stages: generating semantic stick figures, computing base packings, solving for flat-foldable crease patterns, shaping the folded design, and refining via reinforcement learning with autonomous aesthetic evaluation. The work demonstrates how AI can satisfy multi-objective physical constraints (geometric foldability) while incorporating subjective visual aesthetics, acting as a collaborative assistant for human artists in the mathematically rigorous domain of computational origami.
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Key quotes
· 4 pulledWhile generative AI has achieved remarkable success in solving problems with verifiable solutions, generating physical art that satisfies both strict geometric constraints and subjective visual aesthetics remains a challenge.
We present COrigami, an end-to-end AI-driven pipeline that assists the design cycle by generating crease patterns from natural language.
Our system acts as a highly effective collaborative assistant, generating structural starting points that human artists can further expand and shape.
By integrating algorithmic optimisation with autonomous aesthetic critique, this work demonstrates how AI systems can satisfy multi-objective physical constraints to enable reliable, mathematically grounded co-creativity.
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