A synonymous source coding architecture and variational inference framework derive the rate-distortion-perception tradeoff by treating perception as recovery of any admissible synonymous sample.
Soundstream: An end-to-end neural audio codec,
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MSDformer introduces a multi-scale discrete transformer that tokenizes time series at multiple scales and models them autoregressively in discrete space, claiming superior performance over prior DTM methods with rate-distortion theoretical support.
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A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff
A synonymous source coding architecture and variational inference framework derive the rate-distortion-perception tradeoff by treating perception as recovery of any admissible synonymous sample.
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MSDformer: Multi-scale Discrete Transformer For Time Series Generation
MSDformer introduces a multi-scale discrete transformer that tokenizes time series at multiple scales and models them autoregressively in discrete space, claiming superior performance over prior DTM methods with rate-distortion theoretical support.