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, AniDoc 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: this https URL.
Abstract (translated)
二维动画的生产遵循一个行业标准的工作流程,涵盖了四个基本阶段:角色设计、关键帧动画、中间画和上色。我们的研究旨在通过利用日益强大的生成式AI的潜力来减少上述过程中的劳动力成本。基于视频扩散模型,AniDoc 作为一种视频线稿着色工具应运而生,它能够根据参考角色规范自动将草图序列转换为彩色动画。我们的模型利用对应匹配作为显式指导,对参考角色与每帧线稿之间的变化(例如姿势)具有很强的鲁棒性。此外,我们的模型甚至可以自动化中间画过程,使得用户只需提供一个角色图像以及起始和结束草图就能轻松创建时间上一致的动画。我们的代码可以在以下链接获取:此 https URL。
URL
https://arxiv.org/abs/2412.14173