用於卡通動畫的生成式人工智慧：一項調查

摘要

傳統的塑膠片（Cel）動畫製作流程包括多個重要步驟，包括故事板繪製、佈局設計、關鍵幀動畫、中間畫製作和上色，這些步驟需要大量的人力投入、技術專長和時間。這些挑戰歷史上一直影響著Cel動畫製作的效率和可擴展性。生成式人工智慧（GenAI）的興起，包括大型語言模型、多模態模型和擴散模型，通過自動化任務如中間畫生成、上色和故事板創建，提供了創新的解決方案。本調查探討了GenAI整合如何通過降低技術門檻、擴大對諸多創作者的可及性，透過AniDoc、ToonCrafter和AniSora等工具，使藝術家能夠更多專注於創意表達和藝術創新，從而革新傳統動畫工作流程。儘管具有潛力，但保持視覺一致性、確保風格連貫和應對道德考量等問題仍然存在挑戰。此外，本文討論了未來的發展方向，並探討了AI輔助動畫的潛在進展。如需進一步探索和資源，請訪問我們的GitHub存儲庫：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

用於卡通動畫的生成式人工智慧：一項調查

Generative AI for Cel-Animation: A Survey

摘要

Summary

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