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Improving Statistical Fidelity for Neural Image Compression with
  Implicit Local Likelihood Models
v1v2v3 (latest)

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models

26 January 2023
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
ArXiv (abs)PDFHTML

Papers citing "Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models"

32 / 32 papers shown
Title
One-Step Diffusion-Based Image Compression with Semantic Distillation
One-Step Diffusion-Based Image Compression with Semantic Distillation
Naifu Xue
Zhaoyang Jia
Jiahao Li
Bin Li
Yuan Zhang
Yan Lu
DiffM
106
0
0
22 May 2025
PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking
PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking
Xiatao Sun
Yinxing Chen
Daniel Rakita
VGen
129
0
0
29 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
131
2
0
21 Mar 2025
Lossy Compression with Pretrained Diffusion Models
Jeremy Vonderfecht
Feng Liu
DiffM
138
2
0
20 Jan 2025
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
77
16
0
17 Jan 2024
A Residual Diffusion Model for High Perceptual Quality Codec
  Augmentation
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation
Noor Fathima Ghouse
Jens Petersen
Auke Wiggers
Tianlin Xu
Guillaume Sautière
DiffM
49
22
0
13 Jan 2023
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
54
132
0
14 Sep 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
83
80
0
17 Jun 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVMVLM
110
207
0
11 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Supervised Compression for Resource-Constrained Edge Computing Systems
Supervised Compression for Resource-Constrained Edge Computing Systems
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
73
58
0
21 Aug 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
37
39
0
26 Jul 2021
Lossy Compression for Lossless Prediction
Lossy Compression for Lossless Prediction
Yann Dubois
Benjamin Bloem-Reddy
Karen Ullrich
Chris J. Maddison
93
62
0
21 Jun 2021
XCiT: Cross-Covariance Image Transformers
XCiT: Cross-Covariance Image Transformers
Alaaeldin El-Nouby
Hugo Touvron
Mathilde Caron
Piotr Bojanowski
Matthijs Douze
...
Ivan Laptev
Natalia Neverova
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
ViT
144
511
0
17 Jun 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end
  compression research
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint
Fabien Racapé
Simon Feltman
Akshay Pushparaja
VLM
63
426
0
05 Nov 2020
End-to-end Learning of Compressible Features
End-to-end Learning of Compressible Features
Saurabh Singh
Sami Abu-El-Haija
Nick Johnston
Johannes Ballé
Abhinav Shrivastava
G. Toderici
SSL
134
72
0
23 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
246
4,083
0
17 Jun 2020
An Unsupervised Information-Theoretic Perceptual Quality Metric
An Unsupervised Information-Theoretic Perceptual Quality Metric
Sangnie Bhardwaj
Ian S. Fischer
Johannes Ballé
Troy T. Chinen
SSL
20
32
0
11 Jun 2020
Image Quality Assessment: Unifying Structure and Texture Similarity
Image Quality Assessment: Unifying Structure and Texture Similarity
Keyan Ding
Kede Ma
Shiqi Wang
Eero P. Simoncelli
106
780
0
16 Apr 2020
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
34
132
0
28 May 2018
Generative Adversarial Networks for Extreme Learned Image Compression
Generative Adversarial Networks for Extreme Learned Image Compression
E. Agustsson
Michael Tschannen
Fabian Mentzer
Radu Timofte
Luc Van Gool
GAN
63
558
0
09 Apr 2018
Towards Image Understanding from Deep Compression without Decoding
Towards Image Understanding from Deep Compression without Decoding
Robert Torfason
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
AI4CE
67
153
0
16 Mar 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,877
0
11 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
144
1,493
0
04 Jan 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
126
814
0
16 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
228
5,019
0
02 Nov 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
82
797
0
09 Jan 2017
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,707
0
15 Sep 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
177
3,711
0
27 Jul 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
154
1,656
0
02 Jun 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
138
2,913
0
05 May 2015
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