PRIMED improves referring audio-visual segmentation by using a modality prior decoder and competition-aware fusion to adaptively suppress irrelevant modalities.
Effived: Efficient video editing via text-instruction diffusion models
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This survey traces video generation technology from GANs to diffusion models and then to autoregressive and multimodal approaches while analyzing principles, strengths, and future trends.
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PRIMED: Adaptive Modality Suppression for Referring Audio-Visual Segmentation via Biased Competition
PRIMED improves referring audio-visual segmentation by using a modality prior decoder and competition-aware fusion to adaptively suppress irrelevant modalities.
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Evolution of Video Generative Foundations
This survey traces video generation technology from GANs to diffusion models and then to autoregressive and multimodal approaches while analyzing principles, strengths, and future trends.