Learning Better Lossless Compression Using Lossy Compression

23 March 2020

Luc Van Gool

Papers citing "Learning Better Lossless Compression Using Lossy Compression"

33 / 33 papers shown

Title
Large Language Model for Lossless Image Compression with Visual Prompts Junhao Du Chuqin Zhou Ning Cao Gang Chen Yunuo Chen Zhengxue Cheng Li Song Guo Lu Wenjun Zhang VLM 77 2 0 22 Feb 2025
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data David Heurtel-Depeiges Anian Ruoss J. Veness Tim Genewein 102 2 0 07 Oct 2024
FLLIC: Functionally Lossless Image Compression Xi Zhang Xiaolin Wu 79 0 0 24 Jan 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 151 30,069 0 01 Mar 2022
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 53 158 0 17 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables F. Kingma Pieter Abbeel Jonathan Ho 47 97 0 16 May 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 55 139 0 15 Jan 2019
Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 49 196 0 30 Nov 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 46 1,268 0 08 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 212 3,110 0 09 Jul 2018
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 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 Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 49 487 0 12 Jan 2018
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 53 270 0 28 Dec 2017
Real-Time Adaptive Image Compression Oren Rippel Lubomir D. Bourdev 36 560 0 16 May 2017
Deep Generative Adversarial Compression Artifact Removal L. Galteri Lorenzo Seidenari Marco Bertini A. Bimbo GAN 62 213 0 08 Apr 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 47 481 0 03 Apr 2017
Parallel Multiscale Autoregressive Density Estimation Scott E. Reed Aaron van den Oord Nal Kalchbrenner Sergio Gomez Colmenarejo Ziyun Wang Dan Belov Nando de Freitas BDL 62 205 0 10 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 57 1,050 0 01 Mar 2017
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression Lukas Cavigelli P. Hager Luca Benini 48 196 0 22 Nov 2016
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 71 1,701 0 05 Nov 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 44 827 0 18 Aug 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 131 2,495 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 83 1,805 0 15 Jun 2016
Compression Artifacts Removal Using Convolutional Neural Networks P. Svoboda Michal Hradiš David Barina P. Zemčík 38 144 0 02 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 399 2,563 0 25 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 41 386 0 19 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 258 4,143 0 21 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
Compression Artifacts Reduction by a Deep Convolutional Network Chao Dong Yubin Deng Chen Change Loy Xiaoou Tang SupR 36 791 0 27 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 850 149,474 0 22 Dec 2014