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Comic Generation Using AI–A Review

  • Jayaganeshan Thanga Kumar,
  • Harinath Babu,
  • N. Srinivasan

摘要

The field of comic creation using artificial intelligence (AI) has made great strides in recent years. This general summary provides an overview of the broader context of the AI-driven comic generation. The AI-driven comic generation is a booming field where technology intersects with artistic expression. This transform technology leverages machine learning and natural language processing algorithms to generate comics, comics, and illustrations automatically or semi-automatically. It covers a wide range of applications, from translating video content to comics to creating comics from text or dialogue descriptions. Important innovations in this area include the development of new algorithms and models, such as ComicGAN, which exploits synthetic adversarial networks to synthesize comics from text descriptions, and bubble generation methods. Emotion-aware shadows add depth to the interactions between characters. AI-powered comic creation not only streamlines the creative process, but also offers more comprehensive and diverse storytelling potential as it can adapt to genres, styles, and cultural contexts. The generation of AI-based comics represents a dynamic and growing field that combines artistic creation with cutting-edge technology, opening new avenues for storytelling and creative expression. in the digital age.