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12/28/2022
Multi-Realism Image Compression with a Conditional Generator
By optimizing the rate-distortion-realism trade-off, generative compress...
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06/15/2022
VCT: A Video Compression Transformer
We show how transformers can be used to vastly simplify neural video com...
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07/26/2021
Towards Generative Video Compression
We present a neural video compression method based on generative adversa...
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07/17/2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
In learning-based approaches to image compression, codecs are developed ...
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07/06/2020
Nonlinear Transform Coding
We review a class of methods that can be collected under the name nonlin...
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09/08/2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
Recent models for learned image compression are based on autoencoders, l...
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08/01/2018
Towards a Semantic Perceptual Image Metric
We present a full reference, perceptual image metric based on VGG-16, an...
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05/31/2018
Image-Dependent Local Entropy Models for Learned Image Compression
The leading approach for image compression with artificial neural networ...
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02/07/2018
Spatially adaptive image compression using a tiled deep network
Deep neural networks represent a powerful class of function approximator...
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02/01/2018
Variational image compression with a scale hyperprior
We describe an end-to-end trainable model for image compression based on...
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05/18/2017
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks
We introduce a stop-code tolerant (SCT) approach to training recurrent c...
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03/29/2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
We propose a method for lossy image compression based on recurrent, conv...
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08/18/2016
Full Resolution Image Compression with Recurrent Neural Networks
This paper presents a set of full-resolution lossy image compression met...
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11/19/2015