VQ-Insight uses progressive reinforcement learning with temporal shuffle and task rewards to teach a vision-language model to score and compare AI-generated videos, with gains on multiple video quality benchmarks.
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VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning
VQ-Insight uses progressive reinforcement learning with temporal shuffle and task rewards to teach a vision-language model to score and compare AI-generated videos, with gains on multiple video quality benchmarks.