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

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

International Conference on Machine Learning (ICML), 2021
5 June 2021
Zeyu Yan
Fei Wen
R. Ying
Chao Ma
Peilin Liu
ArXiv (abs)PDFHTML

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

22 / 22 papers shown
Title
Generative Latent Video Compression
Generative Latent Video Compression
Zongyu Guo
Zhaoyang Jia
Jiahao Li
Xiaoyi Zhang
Bin Li
Yan Lu
VGen
72
0
0
11 Oct 2025
Synonymous Variational Inference for Perceptual Image Compression
Synonymous Variational Inference for Perceptual Image Compression
Zijian Liang
K. Niu
Changshuo Wang
Jin Xu
Ping Zhang
121
2
0
28 May 2025
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
Rate-Distortion-Perception Theory for the Quadratic Wasserstein SpaceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2025
Xiqiang Qu
Jun Chen
Lei Yu
Xiangyu Xu
206
1
0
24 Apr 2025
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
272
3
0
21 Mar 2025
Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices
Jun Chen
Jing Wang
Ruibin Li
Zhengyu Ma
Wei Dong
Huan Liu
Yuanhao Yu
OT
250
0
0
05 Mar 2025
Survey on Visual Signal Coding and Processing with Generative Models:
  Technologies, Standards and Optimization
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and OptimizationIEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024
Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
242
6
0
23 May 2024
Output-Constrained Lossy Source Coding With Application to
  Rate-Distortion-Perception Theory
Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
Linchao Xie
Liangyan Li
Jun Chen
Zhongshan Zhang
129
8
0
21 Mar 2024
Point Cloud Compression via Constrained Optimal Transport
Point Cloud Compression via Constrained Optimal TransportIEEE International Conference on Multimedia and Expo (ICME), 2024
Zezeng Li
Weimin Wang
Ziliang Wang
Na Lei
3DPC
134
5
0
13 Mar 2024
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception MeasureIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Sadaf Salehkalaibar
Jun Chen
Ashish Khisti
Wei Yu
204
15
0
22 Jan 2024
Idempotence and Perceptual Image Compression
Idempotence and Perceptual Image CompressionInternational Conference on Learning Representations (ICLR), 2024
Tongda Xu
Ziran Zhu
Dailan He
Yanghao Li
Lina Guo
...
Zhe Wang
Hongwei Qin
Yan Wang
Jingjing Liu
Ya Zhang
187
26
0
17 Jan 2024
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source
  Coding and Modulation via Inverse-Domain GANs
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs
Junli Fang
João F. C. Mota
Baoshan Lu
Weicheng Zhang
Xuemin Hong
194
1
0
22 Dec 2023
A Neural Speech Codec for Noise Robust Speech Coding
A Neural Speech Codec for Noise Robust Speech Coding
Jiayi Huang
Zeyu Yan
Wenbin Jiang
He Wang
Fei Wen
143
0
0
08 Sep 2023
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by
  Semantic Segmentation
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2023
Nikolai Korber
Eduard Kromer
Andreas Siebert
S. Hauke
Daniel Mueller-Gritschneder
Björn Schuller
DiffMVLM
316
8
0
06 Sep 2023
Conditional Perceptual Quality Preserving Image Compression
Conditional Perceptual Quality Preserving Image Compression
Tongda Xu
Qian Zhang
Yanghao Li
Dailan He
Zhe Wang
Yuanyuan Wang
Hongwei Qin
Yan Wang
Jingjing Liu
Ya-Qin Zhang
140
8
0
16 Aug 2023
Restoration of the JPEG Maximum Lossy Compressed Face Images with
  Hourglass Block based on Early Stopping Discriminator
Restoration of the JPEG Maximum Lossy Compressed Face Images with Hourglass Block based on Early Stopping Discriminator
Jongwook Si
Sungyoung Kim
CVBM
69
0
0
22 Jun 2023
On the Choice of Perception Loss Function for Learned Video Compression
On the Choice of Perception Loss Function for Learned Video CompressionNeural Information Processing Systems (NeurIPS), 2023
Sadaf Salehkalaibar
Buu Phan
Jun Chen
Wei Yu
Ashish Khisti
199
17
0
30 May 2023
Optimal Transport Based Unsupervised Restoration Learning Exploiting Degradation Sparsity
Optimal Transport Based Unsupervised Restoration Learning Exploiting Degradation Sparsity
Fei Wen
Wei Wang
Wenxian Yu
Wenbin Jiang
133
0
0
29 Apr 2023
Improving Statistical Fidelity for Neural Image Compression with
  Implicit Local Likelihood Models
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsInternational Conference on Machine Learning (ICML), 2023
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Edouard Grave
Jakob Verbeek
267
82
0
26 Jan 2023
Optimally Controllable Perceptual Lossy Compression
Optimally Controllable Perceptual Lossy CompressionInternational Conference on Machine Learning (ICML), 2022
Zeyu Yan
Fei Wen
Peilin Liu
103
18
0
21 Jun 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
247
96
0
17 Jun 2022
Optimal Transport for Unsupervised Denoising Learning
Optimal Transport for Unsupervised Denoising Learning
Wei Wang
Fei Wen
Zeyu Yan
Peilin Liu
OT
190
35
0
04 Aug 2021
Universal Rate-Distortion-Perception Representations for Lossy
  Compression
Universal Rate-Distortion-Perception Representations for Lossy CompressionNeural Information Processing Systems (NeurIPS), 2021
George Zhang
Jingjing Qian
Jun Chen
Ashish Khisti
150
82
0
18 Jun 2021
1