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A Residual Diffusion Model for High Perceptual Quality Codec
  Augmentation
v1v2v3 (latest)

A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

13 January 2023
Noor Fathima Ghouse
Jens Petersen
Auke Wiggers
Tianlin Xu
Guillaume Sautière
    DiffM
ArXiv (abs)PDFHTML

Papers citing "A Residual Diffusion Model for High Perceptual Quality Codec Augmentation"

11 / 61 papers shown
Title
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
73
562
0
09 Apr 2018
Spatially adaptive image compression using a tiled deep network
Spatially adaptive image compression using a tiled deep network
David C. Minnen
G. Toderici
Michele Covell
Troy T. Chinen
Nick Johnston
Joel Shor
S. Hwang
Damien Vincent
Saurabh Singh
49
59
0
07 Feb 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
387
11,938
0
11 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
199
1,501
0
04 Jan 2018
Real-Time Adaptive Image Compression
Real-Time Adaptive Image Compression
Oren Rippel
Lubomir D. Bourdev
64
562
0
16 May 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
77
1,056
0
01 Mar 2017
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLMSSL
104
1,015
0
22 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 2015
Compression Artifacts Reduction by a Deep Convolutional Network
Compression Artifacts Reduction by a Deep Convolutional Network
Chao Dong
Yubin Deng
Chen Change Loy
Xiaoou Tang
SupR
54
796
0
27 Apr 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,035
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
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