AI RESEARCH
BRITE: A Benchmark for Reliable and Interpretable T2V Evaluation on Implausible Scenarios
arXiv CS.CV
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ArXi:2605.00873v1 Announce Type: cross The rapid advancement of photorealistic Text-to-Video (T2V) generation brings in an urgent need for up-to-date evaluation methods. Existing benchmarks largely overlooked implausible scenarios and do not measure audio-visual alignment. We