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.
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ACPO uses anchor-based regularization with NR-IQA guidance to enable stable perceptual quality improvements in diffusion model fine-tuning.
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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.
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ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance
ACPO uses anchor-based regularization with NR-IQA guidance to enable stable perceptual quality improvements in diffusion model fine-tuning.