arxiv:2501.06250

Generative AI for Cel-Animation: A Survey

Published on Jan 8

· Submitted by

yunlong10 on Jan 13

Upvote

Authors:

Yunlong Tang ,

Hang Hua ,

Abstract

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

View arXiv page View PDF Add to collection

Community

yunlong10

Paper author Paper submitter 1 day ago

•

edited about 12 hours ago

🎨 Generative AI for Cel-Animation: A Survey 🎨

✨This paper explores how GenAI revolutionizes Cel-Animation by assisting tasks like inbetweening, colorization, and storyboarding, making it more accessible and creative.
🔗arXiv: https://arxiv.org/abs/2501.06250

📷We also maintain a GitHub repo, which includes the latest papers, projects, and datasets on GenAI for Cel-Animation：
🔗GitHub: https://github.com/yunlong10/Awesome-AI4Animation

📝This is the first version of our survey. There might be some issues, and we warmly welcome feedback, suggestions, and corrections. We will continue updating the paper with the latest research papers, projects, and datasets.