Article

Human-Machine Collaborative Model for Dynamic Translation of Intangible Cultural Heritage Patterns Based on Generative Adversarial Network and Reinforcement Learning from Human Feedback

2026-02-02

Abstract excerpt

<title>Abstract</title> <p>At present, there is a lack of cultural and artistic expression in the modern design transformation of Intangible Cultural Heritage (ICH) patterns. For this reason, this study proposes a dynamic translation human-machine collaborative model that combines the Generative Adversarial Network (GAN) with Feedback Learning from Human Feedback (RLHF), with the aim of improving the cultural acc...

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Literature Corpus work: d9fb6554-b412-5537-a8cb-3fbbc6a2245d
DOI: 10.21203/rs.3.rs-8484987/v1

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Human-Machine Collaborative Model for Dynamic Translation of Intangible Cultural Heritage Patterns Based on Generative Adversarial Network and Reinforcement Learning from Human FeedbackDOI 10.21203/rs.3.rs-8484987/v1Read

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