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WROP trains video models on object permanence with 1.5M samples

huggingface.co Editor score 8/10

WROP provides 150 task designs, a 1.5M-sample corpus, and a 300-question exam; PWM-WROP ranks first among continuation models in a blind Elo study. The released training and evaluation resources make this a useful test of physical reasoning in video models.

What: WROP is an infrastructure of 150 cognitive-science-inspired tasks across six categories, designed to train object permanence in video models.
Method: Blender generators vary nuisance factors while preserving task structure, producing 10,000+ samples per task and a 1.5M-sample training corpus.
Why it matters: In blind pairwise Elo evaluation, PWM-WROP ranked first among continuation models and third overall among 14 evaluated video models.

Blender generators produce samples for the WROP training corpus. Sketched from the article's own text.

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