iWorld-Bench supplies a large video dataset and six standardized tasks with 4.9k test samples to evaluate interactive abilities of world models via a new action generation framework.
We adopt the MUSIQ quality prediction model, leveraging its ability to perceive diverse resolutions and aspect ratios to score each frame in the video sequence
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iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework
iWorld-Bench supplies a large video dataset and six standardized tasks with 4.9k test samples to evaluate interactive abilities of world models via a new action generation framework.