MMLottieBench is a comprehensive evaluation protocol for multi-modal vector animation generation. The lack of mature and standardized benchmarks and metrics for vector animation generation poses significant challenges in evaluating (1) the quality of generated vector animations and (2) the extent to which generators faithfully follow multi-modal instructions.
Our benchmark addresses these challenges by providing:
Real Subset: 450 samples curated from… See the full description on the dataset page:
https://huggingface.co/datasets/OmniLottie/MMLottieBench.
