COrigami：一种用于协同设计可平铺、可识别的折纸的AI流程工具
COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami
摘要
虽然生成式AI在解决有明确解决方案的问题上取得了显著成就，但生成既符合严格几何约束又具备主观视觉美感的实体艺术仍然是一个挑战。本文提出了一种应对这些问题的方法，该方法应用于计算折纸领域——这是一种数学上严格受限的环境，它将艺术设计建立在平面折叠的公式中。我们提出了COrigami这一由人工智能驱动的完整流程系统，该系统通过从自然语言生成折叠图案来辅助设计过程。该流程包括生成语义化的简笔画、计算基础结构、确定可平面折叠的折叠图案、对折叠图案进行塑形，以及利用强化学习来优化生成的模型，同时这一过程还包含自主的美学评估机制。我们的系统可以作为一种高效的协作工具，提供结构化的起点，让人类艺术家能够进一步扩展和塑造这些结构。通过将算法优化与自主美学评估相结合，这项研究展示了人工智能系统如何满足多种物理约束条件，从而实现可靠且基于数学原理的协同创作。
English Abstract
While 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. This paper presents an approach to tackle these difficulties in the domain of computational origami, a mathematically rigid environment that grounds artistic design within the equations of flat foldability. We present COrigami, an end-to-end AI-driven pipeline that assists the design cycle by generating crease patterns from natural language. Our pipeline involves generating a semantic stick figure, computing a base packing, solving for a flat-foldable crease pattern, shaping the flat-folded crease pattern, and refining the generated model using reinforcement learning driven by an autonomous aesthetic evaluation loop. 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.