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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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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

Variational Quantum Singular Value Decomposition

3 Jun 2020PaddlePaddle/Quantum

In this work, we propose a variational quantum algorithm for singular value decomposition (VQSVD).

IMAGE COMPRESSION RECOMMENDATION SYSTEMS

Semantic Perceptual Image Compression using Deep Convolution Networks

27 Dec 2016iamaaditya/image-compression-cnn

Here, we present a powerful cnn tailored to the specific task of semantic image understanding to achieve higher visual quality in lossy compression.

IMAGE COMPRESSION OBJECT DETECTION VIDEO COMPRESSION