用于卡通动画的生成式人工智能：一项调研

摘要

传统的胶片动画制作流程包括多个关键步骤，如故事板设计、布局设计、关键帧动画、中间画制作和上色，这些步骤需要大量的人工劳动、技术专长和大量时间投入。这些挑战历来阻碍了胶片动画制作的效率和可扩展性。生成式人工智能（GenAI）的兴起，涵盖大型语言模型、多模态模型和扩散模型，通过自动化任务如中间画生成、上色和故事板创建，提供创新解决方案。本调查探讨了GenAI集成如何通过降低技术门槛、通过AniDoc、ToonCrafter和AniSora等工具扩大更广泛创作者的可访问性，使艺术家能够更专注于创意表达和艺术创新，从而彻底改变传统动画工作流程。尽管具有潜力，但保持视觉一致性、确保风格连贯性和解决伦理考虑等问题仍然存在挑战。此外，本文讨论了未来的发展方向，并探讨了AI辅助动画的潜在进展。欲了解更多信息和资源，请访问我们的GitHub存储库：https://github.com/yunlong10/Awesome-AI4Animation

English

Traditional Celluloid (Cel) Animation production pipeline encompasses multiple essential steps, including storyboarding, layout design, keyframe animation, inbetweening, and colorization, which demand substantial manual effort, technical expertise, and significant time investment. These challenges have historically impeded the efficiency and scalability of Cel-Animation production. The rise of generative artificial intelligence (GenAI), encompassing large language models, multimodal models, and diffusion models, offers innovative solutions by automating tasks such as inbetween frame generation, colorization, and storyboard creation. This survey explores how GenAI integration is revolutionizing traditional animation workflows by lowering technical barriers, broadening accessibility for a wider range of creators through tools like AniDoc, ToonCrafter, and AniSora, and enabling artists to focus more on creative expression and artistic innovation. Despite its potential, issues such as maintaining visual consistency, ensuring stylistic coherence, and addressing ethical considerations continue to pose challenges. Furthermore, this paper discusses future directions and explores potential advancements in AI-assisted animation. For further exploration and resources, please visit our GitHub repository: https://github.com/yunlong10/Awesome-AI4Animation

用于卡通动画的生成式人工智能：一项调研

Generative AI for Cel-Animation: A Survey

摘要

Summary

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