A double-blind continuity storyboarding benchmark for industrial short-drama generation.
SEAM-Bench standardizes the evaluation of visual continuity in AI short-drama
storyboarding and supports reproducible assessment at both the prompt layer
(storyboard text) and the image layer (rendered keyframes). It is the
benchmark released alongside SEAM (Shot Entity-Attribute Memory), a
training-free, model-agnostic memory graph that repairs cross-shot and
cross-episode… See the full description on the dataset page:
https://huggingface.co/datasets/Jackyqq/SEAM-Bench.
