AniDoc: Animation Creation Made Easier
원문 초록
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: https://yihao-meng.github.io/AniDoc_demo.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Paint Bucket Colorization Using Anime Character Color Design Sheets
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
Cobra: Efficient Line Art COlorization with BRoAder References
MagicColor: Multi-Instance Sketch Colorization
토론
이 논문과 연결된 포럼 글이 아직 없습니다.