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A novel Clarity Contrast and Similarity Selection Network (CSNet) is presented, to bridge direct information exchange for MFIF by contrasting the clarity differences between source images within the authors' proposed Clarity Contrast Attention Module (CCAM).
Aggregating Visual Information with Optimal Transport (AVIOT), which casts video token compression as transporting a dense empirical measure of frame observations onto a compact target measure, and adapts this construction along task and spatial axes to preserve visual information dispersed across frames under compress...
This work proposes Contrastive Event Adjudication for training-free Video Anomaly Detection (CEAVAD), which shifts the unit of inference from isolated anomaly concepts to falsifiable event hypotheses and establishes an inference-time explanatory boundary through the interaction between competing explanations and video...
TetherMem is introduced, a training-free, query-aware spatiotemporal memory router for frozen video generators that separates subject and scene queries and modulates historical access with region- and age-conditioned priors: subject queries retain identity-bearing history, while scene queries reduce reliance on subject...
FilmEval is introduced, a systematic evaluation framework that couples a difficulty-graded benchmark of 15 representative novels with an automated protocol of nine objective metrics spanning three dimensions: cinematic presentation, film consistency, and novel fidelity.
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