COrigami: 一种用于协同设计可平折视觉识别折纸的AI流水线

摘要

尽管生成式人工智能在解决具有可验证答案的问题方面取得了显著成功，但生成既满足严格几何约束又符合主观视觉美感的实体艺术仍然是一项挑战。本文提出了一种方法，以应对计算折纸这一领域中的这些难题——计算折纸是一种数学上严谨的环境，将艺术设计植根于平面可折叠性的方程之中。我们提出了COrigami，这是一个端到端的人工智能驱动流水线，通过从自然语言生成折痕图案来辅助设计流程。该流水线包括生成语义简笔画、计算基础排布、求解可平面折叠的折痕图案、塑造折叠后的折痕图案，以及通过基于自主审美评估循环的强化学习优化生成模型。我们的系统充当了高度有效的协作助手，能够生成结构化的起点，供人类艺术家进一步扩展和塑造。通过将算法优化与自主审美批判相结合，这项工作展示了人工智能系统如何满足多目标物理约束，从而实现可靠且具有数学基础的协同创造力。

English

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.