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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"

50 / 61 papers shown
Title
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
Juan Song
Jiaxiang He
Mingtao Feng
Keyan Wang
Yunsong Li
DiffM
177
5
0
17 Jul 2024
Improving Statistical Fidelity for Neural Image Compression with
  Implicit Local Likelihood Models
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
93
53
0
26 Jan 2023
Multi-Realism Image Compression with a Conditional Generator
Multi-Realism Image Compression with a Conditional Generator
E. Agustsson
David C. Minnen
G. Toderici
Fabian Mentzer
80
74
0
28 Dec 2022
Extreme Generative Image Compression by Learning Text Embedding from
  Diffusion Models
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan
Xiaoxia Zhou
Hao Tian
DiffM
68
23
0
14 Nov 2022
JPEG Artifact Correction using Denoising Diffusion Restoration Models
JPEG Artifact Correction using Denoising Diffusion Restoration Models
Bahjat Kawar
Jiaming Song
Stefano Ermon
Michael Elad
DiffM
110
56
0
23 Sep 2022
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
73
136
0
14 Sep 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
91
82
0
17 Jun 2022
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Zhihao Hu
Guo Lu
Jinyang Guo
Shan Liu
Wei Jiang
Dong Xu
53
97
0
15 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
228
2,034
0
01 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based
  Deep Generative Models
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja
Anna Kuzina
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
84
29
0
31 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu
Xu Xudong
Ceyuan Yang
Dahua Lin
Bo Dai
DiffM
251
98
0
25 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
466
6,083
0
23 May 2022
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of
  Compressed Video: Dataset, Methods and Results
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang
Radu Timofte
Mei Zheng
Qunliang Xing
Minglang Qiao
...
Yulin Huang
Junying Chen
I. Lee
Sunder Ali Khowaja
Jiseok Yoon
SupR
69
34
0
20 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
425
6,921
0
13 Apr 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
230
1,642
0
07 Apr 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffMVGen
149
267
0
16 Mar 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
302
848
0
27 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
94
119
0
02 Jan 2022
Deblurring via Stochastic Refinement
Deblurring via Stochastic Refinement
Jay Whang
M. Delbracio
Hossein Talebi
Chitwan Saharia
A. Dimakis
P. Milanfar
DiffM
92
275
0
05 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDaDiffM
121
434
0
30 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffMVLM
486
1,654
0
10 Nov 2021
Autoregressive Diffusion Models
Autoregressive Diffusion Models
Emiel Hoogeboom
Alexey A. Gritsenko
Jasmijn Bastings
Ben Poole
Rianne van den Berg
Tim Salimans
DiffM
107
155
0
05 Oct 2021
Perceptual Learned Video Compression with Recurrent Conditional GAN
Perceptual Learned Video Compression with Recurrent Conditional GAN
Ren Yang
Radu Timofte
Luc Van Gool
72
35
0
07 Sep 2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature
  Transform
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform
Myung-Sin Song
Jinyoung Choi
Bohyung Han
76
93
0
21 Aug 2021
Variational Diffusion Models
Variational Diffusion Models
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
198
1,138
0
01 Jul 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
168
1,239
0
30 May 2021
FVC: A New Framework towards Deep Video Compression in Feature Space
FVC: A New Framework towards Deep Video Compression in Feature Space
Zhihao Hu
Guo Lu
Dong Xu
84
253
0
20 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
310
7,971
0
11 May 2021
ELF-VC: Efficient Learned Flexible-Rate Video Coding
ELF-VC: Efficient Learned Flexible-Rate Video Coding
Oren Rippel
Alexander G. Anderson
Kedar Tatwawadi
Sanjay Nair
Craig Lytle
Lubomir D. Bourdev
73
117
0
29 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
470
21,603
0
25 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
354
3,728
0
18 Feb 2021
Progressive Neural Image Compression with Nested Quantization and Latent
  Ordering
Progressive Neural Image Compression with Nested Quantization and Latent Ordering
Yadong Lu
Yinhao Zhu
Yang Yang
A. Said
Taco S. Cohen
MQ
64
32
0
04 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
385
6,592
0
26 Nov 2020
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
68
428
0
05 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
304
7,500
0
06 Oct 2020
Fidelity-Controllable Extreme Image Compression with Generative
  Adversarial Networks
Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks
Shoma Iwai
Tomo Miyazaki
Yoshihiro Sugaya
S. Omachi
GAN
73
46
0
24 Aug 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
770
18,408
0
19 Jun 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
109
475
0
17 Jun 2020
Quantization Guided JPEG Artifact Correction
Quantization Guided JPEG Artifact Correction
Max Ehrlich
L. Davis
Ser-Nam Lim
Abhinav Shrivastava
80
100
0
17 Apr 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and
  Manipulation
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Xingang Pan
Xiaohang Zhan
Bo Dai
Dahua Lin
Chen Change Loy
Ping Luo
DiffM
106
365
0
30 Mar 2020
A GAN-based Tunable Image Compression System
A GAN-based Tunable Image Compression System
Lirong Wu
Kejie Huang
Haibin Shen
GAN
72
42
0
18 Jan 2020
A Comprehensive Benchmark for Single Image Compression Artifacts
  Reduction
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
Jiaying Liu
Dong Liu
Wenhan Yang
Sifeng Xia
Xiaoshuai Zhang
Yuanying Dai
93
73
0
09 Sep 2019
Video Compression With Rate-Distortion Autoencoders
Video Compression With Rate-Distortion Autoencoders
A. Habibian
T. V. Rozendaal
Jakub M. Tomczak
Taco S. Cohen
VGen
79
202
0
14 Aug 2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau
T. Michaeli
92
307
0
23 Jan 2019
DVC: An End-to-end Deep Video Compression Framework
DVC: An End-to-end Deep Video Compression Framework
Guo Lu
Wanli Ouyang
Dong Xu
Xiaoyun Zhang
Chunlei Cai
Zhiyong Gao
VGen
90
660
0
30 Nov 2018
Learned Video Compression
Learned Video Compression
Oren Rippel
Sanjay Nair
Carissa Lew
Steve Branson
Alexander G. Anderson
Lubomir D. Bourdev
80
233
0
16 Nov 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
84
1,282
0
08 Sep 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
43
133
0
28 May 2018
Image Restoration by Estimating Frequency Distribution of Local Patches
Image Restoration by Estimating Frequency Distribution of Local Patches
Jaeyoung Yoo
S. Lee
Nojun Kwak
67
58
0
23 May 2018
Video Compression through Image Interpolation
Video Compression through Image Interpolation
Chao-Yuan Wu
Nayan Singhal
Philipp Krahenbuhl
VGen
86
323
0
18 Apr 2018
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