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New AI agent infers origami procedures from videos

By PulseAugur Editorial · [1 sources] ·

Researchers have developed FoldingAgent, a framework that uses a vision-language model to infer explicit parametric folding programs from origami demonstration videos. This agent can simulate geometric transitions, verify physical plausibility, and re-plan actions to avoid compounding errors. The system was evaluated on PurelandFold, a new benchmark of origami videos, demonstrating its ability to transform unstructured visual demonstrations into executable folding procedures. AI

IMPACT This framework could enable more accessible creation of procedural content from visual demonstrations.

RANK_REASON The item is a research paper detailing a new AI framework for a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI agent infers origami procedures from videos

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The item is a research paper detailing a new AI framework for a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Maya Moriya, Sigal Raab, Yael Vinker, Tali Dekel ·

    FoldingAgent: Inferring Parametric Origami Procedures from Demonstration Videos

    arXiv:2609.00377v1 Announce Type: cross Abstract: We present FoldingAgent, an agentic framework for inferring explicit parametric folding programs directly from origami demonstration videos. Our framework leverages the reasoning power of a pre-trained Vision-Language Model (VLM) …

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