All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Security
Security
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami

By

[Submitted on 24 Jun 2026]

16h ago· 2 min readenNews

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.

Source

Twitter / XCOrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origamiarxiv.org

Key quotes

· 4 pulled
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.
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.
Snippet from the RSS feed
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 approa

You might also wanna read

Comments

Sign in to join the conversation.

No comments yet. Be the first.