In this research, the focus is on hand-drawn cartoon animation and the challenges faced in understanding and generating natural video using recent advancements like CLIP, SVD, and Sora. The author highlights the need for a large-scale cartoon dataset, introducing the Sakuga-42M Dataset with comprehensive annotations. By fine-tuning contemporary models like Video CLIP and achieving outstanding performance on cartoon-related tasks, the author aims to revolutionize cartoon research and applications. The surprise here is the introduction of a groundbreaking dataset that opens up new possibilities for understanding and creating cartoon animations.
https://arxiv.org/abs/2405.07425