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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

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Datasets

Greatest papers with code

Full Resolution Image Compression with Recurrent Neural Networks

CVPR 2017 tensorflow/models

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

5 Nov 2016tensorflow/models

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

IMAGE COMPRESSION MS-SSIM SSIM

Lossless Image Compression through Super-Resolution

6 Apr 2020caoscott/SReC

We introduce a simple and efficient lossless image compression algorithm.

IMAGE COMPRESSION SUPER-RESOLUTION

High-Fidelity Generative Image Compression

NeurIPS 2020 tensorflow/compression

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

Generative Adversarial Networks for Extreme Learned Image Compression

ICLR 2019 Justin-Tan/generative-compression

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

IMAGE COMPRESSION

"Zero-Shot" Super-Resolution using Deep Internal Learning

17 Dec 2017assafshocher/ZSSR

On such images, our method outperforms SotA CNN-based SR methods, as well as previous unsupervised SR methods.

IMAGE COMPRESSION IMAGE SUPER-RESOLUTION

Practical Full Resolution Learned Lossless Image Compression

CVPR 2019 fab-jul/L3C-PyTorch

We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG 2000.

IMAGE COMPRESSION

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

5 Nov 2020InterDigitalInc/CompressAI

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 SSIM VIDEO COMPRESSION

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

NeurIPS 2018 InterDigitalInc/CompressAI

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 SSIM