title: Generative AI for Cel-Animation: A Survey
summary: 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
paper_authors._id: 6785bd194ca966fefba5585b
paper_authors.name: Yunlong Tang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-01-14T08:28:58.533Z
paper_authors._id: 6344c87f0f69ad8aa61dfcf6
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/6344c87f0f69ad8aa61dfcf6/RJfMH9KaBIBubyk1TN5OM.jpeg
paper_authors.fullname: Yunlong Tang
paper_authors.type: user
paper_authors.user: yunlong10
paper_authors._id: 6785bd194ca966fefba5585c
paper_authors.name: Junjia Guo
paper_authors._id: 6785bd194ca966fefba5585d
paper_authors.name: Pinxin Liu
paper_authors._id: 6785bd194ca966fefba5585e
paper_authors.name: Zhiyuan Wang
paper_authors._id: 6785bd194ca966fefba5585f
paper_authors.name: Hang Hua
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-01-14T08:28:56.636Z
paper_authors._id: 639f8277beb95d698de007dd
paper_authors.avatarUrl: /avatars/57f223ccd9d3cb03166ccf0e41361c58.svg
paper_authors.fullname: HangHua
paper_authors.type: user
paper_authors.user: hhua2
paper_authors._id: 6785bd194ca966fefba55860
paper_authors.name: Jia-Xing Zhong
paper_authors._id: 6785bd194ca966fefba55861
paper_authors.name: Yunzhong Xiao
paper_authors._id: 6785bd194ca966fefba55862
paper_authors.name: Chao Huang
paper_authors._id: 6785bd194ca966fefba55863
paper_authors.name: Luchuan Song
paper_authors._id: 6785bd194ca966fefba55864
paper_authors.name: Susan Liang
paper_authors._id: 6785bd194ca966fefba55865
paper_authors.name: Yizhi Song
paper_authors._id: 6785bd194ca966fefba55866
paper_authors.name: Liu He
paper_authors._id: 6785bd194ca966fefba55867
paper_authors.name: Jing Bi
paper_authors._id: 6785bd194ca966fefba55868
paper_authors.name: Mingqian Feng
paper_authors._id: 6785bd194ca966fefba55869
paper_authors.name: Xinyang Li
paper_authors._id: 6785bd194ca966fefba5586a
paper_authors.name: Zeliang Zhang
paper_authors._id: 6785bd194ca966fefba5586b
paper_authors.name: Chenliang Xu
paper_title: Generative AI for Cel-Animation: A Survey
paper_summary: 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
paper_ai_keywords: generative artificial intelligence large language models multimodal models diffusion models inbetween frame generation AniDoc ToonCrafter AniSora