Generative Adversarial Networks for Extreme Learned Image Compression

9 April 2018

E. Agustsson

Michael Tschannen

Fabian Mentzer

Radu Timofte

Luc Van Gool

GAN

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Papers citing "Generative Adversarial Networks for Extreme Learned Image Compression"

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Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Slava Voloshynovskiy 29 15 0 11 Jul 2022
Video Coding Using Learned Latent GAN Compression Mustafa Shukor B. Damodaran Xu Yao Pierre Hellier 22 6 0 09 Jul 2022
Optimally Controllable Perceptual Lossy Compression Zeyu Yan Fei Wen Peilin Liu 19 14 0 21 Jun 2022
Lossy Compression with Gaussian Diffusion Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer DiffM 28 77 0 17 Jun 2022
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission Jun Wang Sixian Wang Jincheng Dai Zhongwei Si Dekun Zhou K. Niu 14 31 0 26 May 2022
Estimating the Resize Parameter in End-to-end Learned Image Compression Li-Heng Chen C. Bampis Zhi Li Lukávs Krasula A. Bovik 19 4 0 26 Apr 2022
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue Rui Shu Tianpei Xia Laurie A. Williams Tim Menzies 9 7 0 22 Mar 2022
The Devil Is in the Details: Window-based Attention for Image Compression Renjie Zou Chunfeng Song Zhaoxiang Zhang ViT 17 213 0 16 Mar 2022
Region-of-Interest Based Neural Video Compression Yura Perugachi-Diaz Guillaume Sautière Davide Abati Yang Yang A. Habibian Taco S. Cohen 29 7 0 03 Mar 2022
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression Jisung Park Jeoggyun Kim Yeseong Kim Sungjin Lee O. Mutlu 13 23 0 17 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 22 117 0 14 Feb 2022
The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness Aaron B. Wagner 18 36 0 08 Feb 2022
COIN++: Neural Compression Across Modalities Emilien Dupont H. Loya Milad Alizadeh Adam Goliñski Yee Whye Teh Arnaud Doucet 53 82 0 30 Jan 2022
Scale-arbitrary Invertible Image Downscaling Jinbo Xing Wenbo Hu T. Wong 33 12 0 29 Jan 2022
Learning-Driven Lossy Image Compression; A Comprehensive Survey Sonain Jamil Md. Jalil Piran Muhibur Rahman 29 36 0 23 Jan 2022
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space Jonas Löhdefink Tim Fingscheidt 26 2 0 17 Jan 2022
Microdosing: Knowledge Distillation for GAN based Compression Leonhard Helminger Roberto Azevedo Abdelaziz Djelouah Markus Gross Christopher Schroers 17 3 0 07 Jan 2022
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression Yi Ma Yongqi Zhai Ronggang Wang 34 11 0 04 Jan 2022
Semantic Communications: Principles and Challenges Zhijin Qin Xiaoming Tao Jianhua Lu Wen Tong Geoffrey Ye Li 28 338 0 30 Dec 2021
Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression Zongyu Guo Runsen Feng Zhizheng Zhang Xin Jin Zhibo Chen 21 15 0 26 Dec 2021
Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression Mu-Wei Li Kede Ma Jinxing Li Dafan Zhang MDE 11 5 0 25 Dec 2021
A New Image Codec Paradigm for Human and Machine Uses Sien Chen Jian Jin Lili Meng Weisi Lin Zhuo Chen Tsui-Shan Chang Zhen Li Huaxiang Zhang 33 6 0 19 Dec 2021
DPICT: Deep Progressive Image Compression Using Trit-Planes Jae-Han Lee S. Jeon K. Choi Youngo Park Chang-Su Kim 18 29 0 12 Dec 2021
Implicit Neural Representations for Image Compression Yannick Strümpler Janis Postels Ren Yang Luc van Gool F. Tombari 24 158 0 08 Dec 2021
A Novel Framework for Image-to-image Translation and Image Compression Feiyu Yang Yaxing Wang Luis Herranz Yongmei Cheng M. Mozerov VLM 14 8 0 25 Nov 2021
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
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors Xin Liang Kai Zhao Sheng Di Sihuan Li Robert Underwood ... Junjing Deng Jon C. Calhoun Dingwen Tao Zizhong Chen Franck Cappello 11 95 0 04 Nov 2021
Learned Image Compression for Machine Perception Felipe Codevilla Jean-Gabriel Simard Ross Goroshin C. Pal 24 20 0 03 Nov 2021
Learned Image Compression with Separate Hyperprior Decoders Zhao Zan Chao Liu Heming Sun Xiaoyang Zeng Yibo Fan 12 3 0 31 Oct 2021
End-to-End Image Compression with Probabilistic Decoding Haichuan Ma Dong Liu Cunhui Dong Li Li Feng Wu 19 1 0 30 Sep 2021
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing Bingchuan Li Shaofei Cai Wei Liu Peng Zhang Qian He Miao Hua Zili Yi 38 11 0 22 Sep 2021
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression Nikolina Kubiak Simon Hadfield 29 3 0 22 Sep 2021
Perceptual Learned Video Compression with Recurrent Conditional GAN Ren Yang Radu Timofte Luc Van Gool 22 31 0 07 Sep 2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform Myung-Sin Song Jinyoung Choi Bohyung Han 23 90 0 21 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 21 89 0 20 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression Yueqi Xie Ka Leong Cheng Qifeng Chen 41 189 0 08 Aug 2021
Subjective evaluation of traditional and learning-based image coding methods Zhigao Fang Jiaqi Zhang Lu Yu Yin Zhao 30 0 0 28 Jul 2021
Neural Video Compression using GANs for Detail Synthesis and Propagation Fabian Mentzer E. Agustsson Johannes Ballé David C. Minnen Nick Johnston G. Toderici GAN 16 37 0 26 Jul 2021
Prb-GAN: A Probabilistic Framework for GAN Modelling Blessen George V. Kurmi Vinay P. Namboodiri GAN 38 0 0 12 Jul 2021
Lossy Compression for Lossless Prediction Yann Dubois Benjamin Bloem-Reddy Karen Ullrich Chris J. Maddison 22 59 0 21 Jun 2021
Reversible Colour Density Compression of Images using cGANs Arunkant A. Jose Abraham Francis GAN 13 1 0 19 Jun 2021
Universal Rate-Distortion-Perception Representations for Lossy Compression George Zhang Jingjing Qian Jun Chen Ashish Khisti 15 66 0 18 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis Shichong Peng Alireza Moazeni Ke Li GAN 16 0 0 16 Jun 2021
On the relation between statistical learning and perceptual distances Alexander Hepburn Valero Laparra Raúl Santos-Rodríguez Johannes Ballé Jesús Malo 29 18 0 08 Jun 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss Sourbh Bhadane Aaron B. Wagner Jayadev Acharya 6 1 0 05 Jun 2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework Zeyu Yan Fei Wen R. Ying Chao Ma Peilin Liu 17 35 0 05 Jun 2021