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20212023
most citedOptimal Transport for Unsupervised Denoising Learning

37 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023

A Neural Speech Codec for Noise Robust Speech Coding

Jiayi Huang, Zeyu Yan, Wenbin Jiang +2

This paper considers the joint compression and enhancement problem for speech signal in the presence of noise. Recently, the SoundStream codec, which relies on end-to-end joint tra…

cs.CV2023

Optimal Transport Based Unsupervised Restoration Learning Exploiting Degradation Sparsity

Fei Wen, Wei Wang, Zeyu Yan +1

Optimal transport (OT) has recently been shown as a promising criterion for unsupervised restoration when no explicit prior model is available. Despite its theoretical appeal, OT s…

cs.CV2022★ 3 cited

Optimally Controllable Perceptual Lossy Compression

Zeyu Yan, Fei Wen, Peilin Liu

Recent studies in lossy compression show that distortion and perceptual quality are at odds with each other, which put forward the tradeoff between distortion and perception (D-P).…

eess.IV2021★ 37 cited

Optimal Transport for Unsupervised Denoising Learning

Wei Wang, Fei Wen, Zeyu Yan +1

Recently, much progress has been made in unsupervised denoising learning. However, existing methods more or less rely on some assumptions on the signal and/or degradation model, wh…

cs.IT2021★ 6 cited

On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework

Zeyu Yan, Fei Wen, Rendong Ying +2

Lossy compression algorithms are typically designed to achieve the lowest possible distortion at a given bit rate. However, recent studies show that pursuing high perceptual qualit…