A causal diffusion model reconstructs videos from ultra-low-bitrate semantics and compressed frames using temporal distillation from a bidirectional teacher, outperforming prior baselines.
Engineering semantic communication: A survey
2 Pith papers cite this work. Polarity classification is still indexing.
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Utility-aware progressive inference on UDP packet blocks enables early hazard recognition, reducing packet budget by 34.2% and decision delay by 1209 ms while retaining 91.5% of full-reception accuracy.
citing papers explorer
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A Causal Diffusion Model for Video Reconstruction from Ultra-Low-Bitrate Representations
A causal diffusion model reconstructs videos from ultra-low-bitrate semantics and compressed frames using temporal distillation from a bidirectional teacher, outperforming prior baselines.
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Utility-Aware Progressive Inference over UDP Packet Blocks for Emergency Communications
Utility-aware progressive inference on UDP packet blocks enables early hazard recognition, reducing packet budget by 34.2% and decision delay by 1209 ms while retaining 91.5% of full-reception accuracy.