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The Hong Kong University of Science and Technology, V) setting. Figure 6: Fine-grained performance comparison of evaluated models in the Reference-to-Video (R
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Current video generation benchmarks miss the forest for the trees: EvalVerse actually measures cinematic quality, not just prompt adherence.
Unified multimodal models aren't truly unified: vision and language modalities exhibit divergent entropy patterns during encoding and generation, hindering effective reasoning-based image synthesis.
