Image Compression

107 papers with code • 11 benchmarks • 10 datasets

Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.

Source: Variable Rate Deep Image Compression With a Conditional Autoencoder

Greatest papers with code

Full Resolution Image Compression with Recurrent Neural Networks

tensorflow/models CVPR 2017

As far as we know, this is the first neural network architecture that is able to outperform JPEG at image compression across most bitrates on the rate-distortion curve on the Kodak dataset images, with and without the aid of entropy coding.

Image Compression

End-to-end Optimized Image Compression

tensorflow/models 5 Nov 2016

We describe an image compression method, consisting of a nonlinear analysis transformation, a uniform quantizer, and a nonlinear synthesis transformation.

Image Compression MS-SSIM +1

Lossless Image Compression through Super-Resolution

caoscott/SReC 6 Apr 2020

We introduce a simple and efficient lossless image compression algorithm.

Image Compression Super-Resolution

High-Fidelity Generative Image Compression

tensorflow/compression NeurIPS 2020

We extensively study how to combine Generative Adversarial Networks and learned compression to obtain a state-of-the-art generative lossy compression system.

Image Compression

Variational image compression with a scale hyperprior

tensorflow/compression ICLR 2018

We describe an end-to-end trainable model for image compression based on variational autoencoders.

Image Compression MS-SSIM +1

Efficient Nonlinear Transforms for Lossy Image Compression

tensorflow/compression 31 Jan 2018

We assess the performance of two techniques in the context of nonlinear transform coding with artificial neural networks, Sadam and GDN.

Image Compression

Generative Adversarial Networks for Extreme Learned Image Compression

Justin-Tan/generative-compression ICCV 2019

We present a learned image compression system based on GANs, operating at extremely low bitrates.

Image Compression

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

InterDigitalInc/CompressAI 5 Nov 2020

This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.

Image Compression MS-SSIM +2

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

InterDigitalInc/CompressAI NeurIPS 2018

While it is well known that autoregressive models come with a significant computational penalty, we find that in terms of compression performance, autoregressive and hierarchical priors are complementary and, together, exploit the probabilistic structure in the latents better than all previous learned models.

Image Compression MS-SSIM +1