Generative AI for Cel-Animation: A Survey
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Abstract (arXiv)
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, challenges like visual consistency, stylistic coherence, and ethical considerations persist. Additionally, this paper explores future directions and advancements in AI-assisted animation. For further exploration and resources, please visit our GitHub repository: https://github.com/yunlong10/Awesome-AI4Animation
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 140 of its 188 references that are in the map. First posted on arXiv 8 Jan 2025.
Builds on
140 of 188 references.
References · 140
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Citing papers per year: 2025: 12; 2026: 5.
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- 2025Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation11 Jul 2025
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- 2025GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling31 Jan 2025
- 2025MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generationcited by 50
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- 2026InstanceAnimator: Multi-Instance Sketch Video Colorizationcited by 1
- 2025FADE: Adversarial Concept Erasure in Flow Modelscited by 0
- 2025Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustnesscited by 0
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- 2026ExpressEdit: Fast Editing of Stylized Facial Expressions with Diffusion Models in Photoshop3 Apr 2026
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- 2025Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarks5 Nov 2025
- 2025Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustness15 Sep 2025
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- 2025MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation6 Feb 2025
- 2025GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling31 Jan 2025
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- 2025ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframingcited by 8
- 2026LiveGesture Streamable Co-Speech Gesture Generation Modelcited by 4
- 2025DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Imagescited by 2
- 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaborationcited by 1
- 2026PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videoscited by 0
- 2026No Pixel Left Behind: Filling Gaps in Anime Colorizationcited by 0
- 2026No Pixel Left Behind: Filling Gaps in Anime Colorization1 Sep 2026
- 2026PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos2 Aug 2026
- 2026LiveGesture Streamable Co-Speech Gesture Generation Model13 Apr 2026
- 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaboration22 Nov 2025
- 2025DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Images18 Sep 2025
- 2025ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing14 Aug 2025
- 2025Intentional Gesture: Deliver Your Intentions with Gestures for Speech21 May 2025
- 2025The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report14 Apr 2025
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