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Multi-Realism Image Compression with a Conditional Generator

Multi-Realism Image Compression with a Conditional Generator

28 December 2022
E. Agustsson
David C. Minnen
G. Toderici
Fabian Mentzer
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Papers citing "Multi-Realism Image Compression with a Conditional Generator"

35 / 35 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
69
0
0
22 May 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
113
2
0
21 Mar 2025
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
113
5
0
17 Jul 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
61
16
0
17 Jan 2024
Flexible Neural Image Compression via Code Editing
Flexible Neural Image Compression via Code Editing
Chenjian Gao
Tongda Xu
Dailan He
Hongwei Qin
Yan Wang
58
24
0
19 Sep 2022
Content-oriented learned image compression
Content-oriented learned image compression
Meng Li
Shang Gao
Yihui Feng
Yibo Shi
Jing Wang
38
13
0
28 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
158
1,089
0
22 Jun 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
64
79
0
17 Jun 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
279
5,904
0
23 May 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
47
327
0
21 Mar 2022
The Devil Is in the Details: Window-based Attention for Image
  Compression
The Devil Is in the Details: Window-based Attention for Image Compression
Renjie Zou
Chunfeng Song
Zhaoxiang Zhang
ViT
32
215
0
16 Mar 2022
Contextformer: A Transformer with Spatio-Channel Attention for Context
  Modeling in Learned Image Compression
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
A. B. Koyuncu
Han Gao
Atanas Boev
Georgii Gaikov
Elena Alshina
Eckehard Steinbach
ViT
41
67
0
04 Mar 2022
An Introduction to Neural Data Compression
An Introduction to Neural Data Compression
Yibo Yang
Stephan Mandt
Lucas Theis
41
118
0
14 Feb 2022
Algorithms for the Communication of Samples
Algorithms for the Communication of Samples
Lucas Theis
Noureldin Yosri
62
40
0
25 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
34
34
0
07 Sep 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
40
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
72
51
0
28 Apr 2021
Checkerboard Context Model for Efficient Learned Image Compression
Checkerboard Context Model for Efficient Learned Image Compression
Dailan He
Yaoyan Zheng
Baochen Sun
Yan Wang
Hongwei Qin
42
280
0
29 Mar 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
327
4,873
0
24 Feb 2021
On the advantages of stochastic encoders
On the advantages of stochastic encoders
Lucas Theis
E. Agustsson
67
45
0
18 Feb 2021
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
26
44
0
24 Aug 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David C. Minnen
Saurabh Singh
46
409
0
17 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
292
17,550
0
19 Jun 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
71
470
0
17 Jun 2020
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau
T. Michaeli
49
304
0
23 Jan 2019
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
41
1,268
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
25
131
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
56
558
0
09 Apr 2018
Conditional Probability Models for Deep Image Compression
Conditional Probability Models for Deep Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
46
487
0
12 Jan 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
297
11,610
0
11 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
443
129,831
0
12 Jun 2017
Real-Time Adaptive Image Compression
Real-Time Adaptive Image Compression
Oren Rippel
Lubomir D. Bourdev
36
560
0
16 May 2017
Generative Compression
Generative Compression
Shibani Santurkar
David Budden
Nir Shavit
VGen
DiffM
GAN
78
189
0
04 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
57
1,050
0
01 Mar 2017
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
210
10,365
0
06 Nov 2014
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