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Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff

Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff

23 January 2019
Yochai Blau
T. Michaeli
ArXivPDFHTML

Papers citing "Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff"

50 / 55 papers shown
Title
Optimized Couplings for Watermarking Large Language Models
Optimized Couplings for Watermarking Large Language Models
Dor Tsur
Carol Xuan Long
C. M. Verdun
Hsiang Hsu
Haim Permuter
Flavio du Pin Calmon
WaLM
35
0
0
13 May 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Fengjia Zhang
Samrudhdhi B. Rangrej
Tristan Aumentado-Armstrong
Afsaneh Fazly
Alex Levinshtein
SupR
72
0
0
25 Apr 2025
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
Xiqiang Qu
Jun Chen
Lei Yu
Xiangyu Xu
78
0
0
24 Apr 2025
Generative Semantic Communications: Principles and Practices
Generative Semantic Communications: Principles and Practices
Xiaojun Yuan
Haoming Ma
Yinuo Huang
Zhoufan Hua
Yong Zuo
Z. Ding
AI4CE
25
0
0
21 Apr 2025
Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
Jiancheng Zhao
Yifan Zhan
Qingtian Zhu
Mingze Ma
Muyao Niu
Zunian Wan
Xiang Ji
Yinqiang Zheng
34
0
0
17 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
84
2
0
21 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Kyle Sargent
Kyle Hsu
Justin Johnson
L. Fei-Fei
Jiajun Wu
DiffM
MU
60
4
0
14 Mar 2025
DLF: Extreme Image Compression with Dual-generative Latent Fusion
Naifu Xue
Zhaoyang Jia
Jiahao Li
Bin Li
Yuan Zhang
Yan-Heng Lu
56
1
0
03 Mar 2025
Token Communications: A Unified Framework for Cross-modal Context-aware Semantic Communications
Token Communications: A Unified Framework for Cross-modal Context-aware Semantic Communications
Li Qiao
Mahdi Boloursaz Mashhadi
Zhen Gao
Rahim Tafazolli
Mehdi Bennis
Dusit Niyato
84
6
0
17 Feb 2025
CANeRV: Content Adaptive Neural Representation for Video Compression
CANeRV: Content Adaptive Neural Representation for Video Compression
Lv Tang
Jun Zhu
Xinfeng Zhang
Li Zhang
Siwei Ma
Qingming Huang
77
1
0
10 Feb 2025
Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
Edgar Beck
Hsuan-Yu Lin
Patrick Rückert
Yongping Bao
Bettina von Helversen
Sebastian Fehrler
Kirsten Tracht
Armin Dekorsy
78
0
0
06 Dec 2024
Conditional Hallucinations for Image Compression
Conditional Hallucinations for Image Compression
Till Aczél
Roger Wattenhofer
36
0
0
25 Oct 2024
Rate-Distortion-Cognition Controllable Versatile Neural Image
  Compression
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
Jinming Liu
Ruoyu Feng
Yunpeng Qi
Qiuyu Chen
Zhibo Chen
Wenjun Zeng
Xin Jin
45
2
0
16 Jul 2024
Controlling Rate, Distortion, and Realism: Towards a Single
  Comprehensive Neural Image Compression Model
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model
Shoma Iwai
Tomo Miyazaki
S. Omachi
57
11
0
27 May 2024
A Rate-Distortion-Classification Approach for Lossy Image Compression
A Rate-Distortion-Classification Approach for Lossy Image Compression
Yuefeng Zhang
23
3
0
06 May 2024
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
Yassine Hamdi
Aaron B. Wagner
Deniz Gündüz
35
9
0
01 Apr 2024
Bidirectional Consistency Models
Bidirectional Consistency Models
Liangchen Li
Jiajun He
DiffM
72
12
0
26 Mar 2024
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural
  Image Compression
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression
Daxin Li
Yuanchao Bai
Kai Wang
Junjun Jiang
Xianming Liu
26
1
0
25 Jan 2024
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
Sadaf Salehkalaibar
Jun Chen
Ashish Khisti
Wei Yu
61
11
0
22 Jan 2024
Idempotence and Perceptual Image Compression
Idempotence and Perceptual Image Compression
Tongda Xu
Ziran Zhu
Dailan He
Yanghao Li
Lina Guo
...
Zhe Wang
Hongwei Qin
Yan Wang
Jingjing Liu
Ya Zhang
43
15
0
17 Jan 2024
On the Computation of the Gaussian Rate-Distortion-Perception Function
On the Computation of the Gaussian Rate-Distortion-Perception Function
Giuseppe Serra
Photios A. Stavrou
Marios Kountouris
19
7
0
15 Nov 2023
Neural Image Compression Using Masked Sparse Visual Representation
Neural Image Compression Using Masked Sparse Visual Representation
Wei Jiang
Wei Wang
Yuewei Chen
21
7
0
20 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 Segmentation
Nikolai Korber
Eduard Kromer
Andreas Siebert
S. Hauke
Daniel Mueller-Gritschneder
Björn Schuller
DiffM
VLM
29
4
0
06 Sep 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
34
6
0
04 Aug 2023
M2T: Masking Transformers Twice for Faster Decoding
M2T: Masking Transformers Twice for Faster Decoding
Fabian Mentzer
E. Agustsson
Michael Tschannen
23
17
0
14 Apr 2023
Generative Joint Source-Channel Coding for Semantic Image Transmission
Generative Joint Source-Channel Coding for Semantic Image Transmission
Ece Naz Erdemir
Tze-Yang Tung
Pier Luigi Dragotti
Deniz Gunduz
GAN
25
78
0
24 Nov 2022
Attention-Based Generative Neural Image Compression on Solar Dynamics
  Observatory
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
Ali Zafari
Atefeh Khoshkhahtinat
P. Mehta
Nasser M. Nasrabadi
B. Thompson
D. D. Silva
M. Kirk
13
9
0
12 Oct 2022
Flexible Neural Image Compression via Code Editing
Flexible Neural Image Compression via Code Editing
Chenjian Gao
Tongda Xu
Dailan He
Hongwei Qin
Yan Wang
46
24
0
19 Sep 2022
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
11
128
0
14 Sep 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
29
434
0
19 Jul 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
35
78
0
17 Jun 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU
  Oriented Neural Framework
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework
Ning Kang
Shanzhao Qiu
Shifeng Zhang
Zhenguo Li
Shutao Xia
22
17
0
10 Jun 2022
ELIC: Efficient Learned Image Compression with Unevenly Grouped
  Space-Channel Contextual Adaptive Coding
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Dailan He
Zi Yang
Weikun Peng
Rui Ma
Hongwei Qin
Yan Wang
36
323
0
21 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning
No Free Lunch Theorem for Security and Utility in Federated Learning
Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
FedML
24
64
0
11 Mar 2022
The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness
The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness
Aaron B. Wagner
23
36
0
08 Feb 2022
An Indirect Rate-Distortion Characterization for Semantic Sources:
  General Model and the Case of Gaussian Observation
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation
Jiakun Liu
Shuo Shao
Wenyi Zhang
H. Vincent Poor
21
34
0
29 Jan 2022
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles
  using Deep Generative Models
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
Daniel Bogdoll
Johannes Jestram
Jonas Rauch
Christin Scheib
Moritz Wittig
J. Marius Zöllner
25
9
0
05 Nov 2021
Learned Image Compression for Machine Perception
Learned Image Compression for Machine Perception
Felipe Codevilla
Jean-Gabriel Simard
Ross Goroshin
C. Pal
27
20
0
03 Nov 2021
End-to-End Image Compression with Probabilistic Decoding
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma
Dong Liu
Cunhui Dong
Li Li
Feng Wu
19
1
0
30 Sep 2021
Data Sharing and Compression for Cooperative Networked Control
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng
Marco Pavone
Sachin Katti
Sandeep P. Chinchali
A. Tang
34
10
0
29 Sep 2021
Neural Video Compression using GANs for Detail Synthesis and Propagation
Neural Video Compression using GANs for Detail Synthesis and Propagation
Fabian Mentzer
E. Agustsson
Johannes Ballé
David C. Minnen
Nick Johnston
G. Toderici
GAN
24
38
0
26 Jul 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich
T. Michaeli
Ron Meir
27
40
0
06 Jul 2021
Universal Rate-Distortion-Perception Representations for Lossy
  Compression
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang
Jingjing Qian
Jun Chen
Ashish Khisti
21
66
0
18 Jun 2021
A coding theorem for the rate-distortion-perception function
A coding theorem for the rate-distortion-perception function
Lucas Theis
Aaron B. Wagner
65
49
0
28 Apr 2021
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Jianhui Chang
Zhenghui Zhao
Lingbo Yang
Chuanmin Jia
Jian Zhang
Siwei Ma
27
21
0
12 Mar 2021
On the advantages of stochastic encoders
On the advantages of stochastic encoders
Lucas Theis
E. Agustsson
57
44
0
18 Feb 2021
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
Ting-Chun Wang
Arun Mallya
Xuan Li
3DH
37
470
0
30 Nov 2020
Learning to Compress Videos without Computing Motion
Learning to Compress Videos without Computing Motion
Meixu Chen
T. Goodall
Anjul Patney
A. Bovik
12
9
0
29 Sep 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
57
463
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
52
1,587
0
15 Jun 2020
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