Sakuga-42M Dataset: Scaling Up Cartoon Research

Understand

Hand-drawn cartoon animation employs sketches and flat-color segments to create the illusion of motion.

• While recent advancements like CLIP, SVD, and Sora show impressive results in understanding and generating natural video by scaling large models with extensive datasets, they are not as effective for cartoons.
• Through our empirical experiments, we argue that this ineffectiveness stems from a notable bias in hand-drawn cartoons that diverges from the distribution of natural videos.
• Can we harness the success of the scaling paradigm to benefit cartoon research? Unfortunately, until now, there has not been a sizable cartoon dataset available for exploration.