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Image Compression

28 papers with code · Computer Vision

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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

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

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

"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

Conditional Probability Models for Deep Image Compression

CVPR 2018 fab-jul/imgcomp-cvpr

During training, the auto-encoder makes use of the context model to estimate the entropy of its representation, and the context model is concurrently updated to learn the dependencies between the symbols in the latent representation.

IMAGE COMPRESSION QUANTIZATION

Context-adaptive Entropy Model for End-to-end Optimized Image Compression

ICLR 2019 JooyoungLeeETRI/CA_Entropy_Model

We propose a context-adaptive entropy model for use in end-to-end optimized image compression.

IMAGE COMPRESSION

Lossy Image Compression with Compressive Autoencoders

1 Mar 2017alexandru-dinu/cae

We propose a new approach to the problem of optimizing autoencoders for lossy image compression.

IMAGE COMPRESSION

Variable Rate Image Compression with Recurrent Neural Networks

19 Nov 2015alexandru-dinu/cae

A large fraction of Internet traffic is now driven by requests from mobile devices with relatively small screens and often stringent bandwidth requirements.

IMAGE COMPRESSION IMAGE RECONSTRUCTION