AniDoc: Animation Creation Made Easier

Yihao Meng, Ouyang Hao, Hanlin Wang, Qiuyu Wang, Wen Wang +4 more
2/9/2026

No official code found. Best implementation: ant-research/AniDoc (572 stars, Apache-2.0, last commit 2025-04-15). 2 more below.

Abstract

The production of 2D animation follows an industry-standard workflow, encompassing four essential stages: character design, keyframe animation, in-betweening, and coloring. Our research focuses on reducing the labor costs in the above process by harnessing the potential of increasingly powerful generative AI. Using video diffusion models as the foundation, AniDoc1 emerges as a video line art colorization tool, which automatically converts sketch sequences into colored animations following the reference character specification. Our model exploits correspondence matching as an explicit guidance, yielding strong robustness to the variations (e.g., posture) between the reference character and each line art frame. In addition, our model could even automate the in-betweening process, such that users can easily create a temporally consistent animation by simply providing a character image as well as the start and end sketches. Our code is available at: https://yihaomeng.github.io/AniDocdemo.

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Code Implementations(3)

Apache-2.0

[CVPR'25] Official Implementations for Paper - AniDoc: Animation Creation Made Easier

57246TeX, ShellDec 18, 20241 years agoApache-2.0

this is the web demo for AniDoc: Animation Creation Made Easier

41CSS, HTMLDec 17, 20241 years ago
Apache-2.0

ComfyUI Custom Nodes for "AniDoc: Animation Creation Made Easier". This approach automates line art video colorization using a novel model that aligns color information from references, ensures temporal consistency, and reduces manual effort in animation production.

565TeX, ShellDec 27, 20241 years agoApache-2.0

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Cite this paper

@article{meng2026anidoc,
  title  = {AniDoc: Animation Creation Made Easier},
  author = {Yihao Meng and Ouyang Hao and Hanlin Wang and Qiuyu Wang and Wen Wang and Ka Leong Cheng and Zhiheng Liu and Yujun Shen and Huamin Qu},
  year   = {2026},
  eprint = {2412.14173},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2412.14173},
  journal = {CVPR 2024 2024}
}

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