Cartoon Interpolation

Cartoon interpolation aims to automatically generate intermediate frames between existing cartoon drawings or images, automating a time-consuming process in animation and art creation. Recent research focuses on generative models, particularly diffusion transformers and GANs, to overcome limitations of traditional correspondence-based methods that struggle with the complex, non-linear motions and occlusions common in cartoons. These approaches leverage techniques like graph-based representations of line drawings and latent space manipulation to achieve high-quality, detail-preserving interpolation, addressing challenges such as dis-occlusion and maintaining stylistic consistency. This research has significant implications for animation production pipelines and offers new tools for artists and educators.