Lossy Image Compression with Compressive Autoencoders

1 March 2017

Papers citing "Lossy Image Compression with Compressive Autoencoders"

24 / 174 papers shown

Title
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 32 281 0 02 Oct 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 32 19 0 12 Jul 2018
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression Mohammad Akbari Jie Liang Jingning Han 16 89 0 08 Jun 2018
Image-Dependent Local Entropy Models for Learned Image Compression David C. Minnen G. Toderici Saurabh Singh S. Hwang Michele Covell 27 31 0 31 May 2018
BlockCNN: A Deep Network for Artifact Removal and Image Compression Danial Maleki Soheila Nadalian Mohammad Mahdi Derakhshani M. Sadeghi 27 28 0 28 May 2018
Theory and Experiments on Vector Quantized Autoencoders Aurko Roy Ashish Vaswani Arvind Neelakantan Niki Parmar 19 85 0 28 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 16 130 0 28 May 2018
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms Aupendu Kar S. Karri N. Ghosh Ramanathan Sethuraman Debdoot Sheet MedIm 33 13 0 17 May 2018
Deep Convolutional AutoEncoder-based Lossy Image Compression Zhengxue Cheng Heming Sun Masaru Takeuchi J. Katto 29 177 0 25 Apr 2018
Video Compression through Image Interpolation Chao-Yuan Wu Nayan Singhal Philipp Krahenbuhl VGen 34 317 0 18 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression E. Agustsson Michael Tschannen Fabian Mentzer Radu Timofte Luc Van Gool GAN 35 553 0 09 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 36 165 0 06 Apr 2018
Learned Neural Iterative Decoding for Lossy Image Compression Systems Alexander Ororbia A. Mali Jian Wu Scott O'Connell David J. Miller C. Lee Giles 27 27 0 15 Mar 2018
Autoencoder based image compression: can the learning be quantization independent? Thierry Dumas A. Roumy C. Guillemot OOD SSL MQ 26 57 0 23 Feb 2018
DeepSIC: Deep Semantic Image Compression Sihui Luo Yezhou Yang Xiuming Zhang 33 46 0 29 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 67 4,848 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 39 80 0 01 Nov 2017
Learning to Inpaint for Image Compression M. H. Baig V. Koltun Lorenzo Torresani AI4CE 27 55 0 26 Sep 2017
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 27 120 0 13 Sep 2017
Real-Time Adaptive Image Compression Oren Rippel Lubomir D. Bourdev 22 559 0 16 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 24 480 0 03 Apr 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 234 5,181 0 16 Sep 2016
End-to-end optimization of nonlinear transform codes for perceptual quality Johannes Ballé Valero Laparra Eero P. Simoncelli 72 244 0 18 Jul 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 275 2,553 0 25 Jan 2016