COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami
arXiv:2606.26299v1 Announce Type: new 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
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Computer Science > Artificial Intelligence arXiv:2606.26299 (cs) [Submitted on 24 Jun 2026] Title:COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami Authors:Tom Zahavy, Shaobo Hou, Thomas Tumiel, James Doran, Francesco Faccio, Xidong Feng, Alex Havrilla, Igor Khytryi, Chenglei Li, Lisa Schut, Vivek Veeriah, Arijan Abrashi, Michał Kosmulski, Robert J. Lang, Nick Robinson, Brandon Wong, Marcus Chiam, Gloria Fang, Satinder Singh View a PDF of the paper titled COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami, by Tom Zahavy and 17 other authors View PDF HTML (experimental) Abstract:While generative AI has achieved remarkable success in solving problems with verifiable solutions, generating physical art that satisfies both…
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