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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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Latest papers with code

Image Compression with Encoder-Decoder Matched Semantic Segmentation

24 Jan 2021HoangTrinh/EDMS

In recent years, layered image compression is demonstrated to be a promising direction, which encodes a compact representation of the input image and apply an up-sampling network to reconstruct the image.

IMAGE COMPRESSION SEMANTIC SEGMENTATION

1
24 Jan 2021

Soft Compression for Lossless Image Coding

11 Dec 2020ten22one/Soft-compression-algorithm-for-gray-image

Soft compression is a lossless image compression method, which is committed to eliminating coding redundancy and spatial redundancy at the same time by adopting locations and shapes of codebook to encode an image from the perspective of information theory and statistical distribution.

IMAGE COMPRESSION

1
11 Dec 2020

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

232
05 Nov 2020

Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks

24 Aug 2020iwa-shi/fidelity_controllable_compression

To address both of the drawbacks, our method adopts two-stage training and network interpolation.

IMAGE COMPRESSION

6
24 Aug 2020

Channel-Level Variable Quantization Network for Deep Image Compression

15 Jul 2020zzs1994/CVQN

In this paper, we propose a channel-level variable quantization network to dynamically allocate more bitrates for significant channels and withdraw bitrates for negligible channels.

IMAGE COMPRESSION QUANTIZATION

14
15 Jul 2020

Locally Masked Convolution for Autoregressive Models

22 Jun 2020ajayjain/lmconv

For tasks such as image completion, these models are unable to use much of the observed context.

ANOMALY DETECTION DENSITY ESTIMATION IMAGE COMPRESSION IMAGE GENERATION

57
22 Jun 2020

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

444
17 Jun 2020

Neural Sparse Representation for Image Restoration

NeurIPS 2020 ychfan/nsr

Inspired by the robustness and efficiency of sparse representation in sparse coding based image restoration models, we investigate the sparsity of neurons in deep networks.

IMAGE COMPRESSION IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

21
08 Jun 2020