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Kirito-Lab/OPIS-dataset

OPIS Dataset OPIS is an input-grounded benchmark for evaluating multi-object memory in image-to-video and camera-conditioned video world models. It anchors every evaluation to the fixed object instances visible in the initial image, rather than to a generated history or a prescribed reference video. The benchmark is designed to measure whether a generated rollout preserves the objects established by its input. Its evaluator reports three complementary dimensions: Presence… See the full description on the dataset page: https://huggingface.co/datasets/Kirito-Lab/OPIS-dataset.

Author / organizationKirito-Lab
Downloads1.2K (as reported by Hugging Face)
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Created25 September 2026
Last updated at source29 September 2026
multimodalimage-to-videovideo-generationobject-centric-evaluationworld-modelsmemory-evaluation
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