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LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks


Nov 17, 2021
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici

* 30 pages, 29 figures 

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Towards a Semantic Perceptual Image Metric


Aug 01, 2018
Troy Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean O'Malley, Charles Rosenberg, George Toderici


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Image-Dependent Local Entropy Models for Learned Image Compression


May 31, 2018
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell

* International Conference on Image Processing 2018 

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Spatially adaptive image compression using a tiled deep network


Feb 07, 2018
David Minnen, George Toderici, Michele Covell, Troy Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh

* International Conference on Image Processing 2017 

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Full Resolution Image Compression with Recurrent Neural Networks


Jul 07, 2017
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell

* Updated with content for CVPR and removed supplemental material to an external link for size limitations 

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Target-Quality Image Compression with Recurrent, Convolutional Neural Networks


May 18, 2017
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici


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Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks


Mar 29, 2017
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy Chinen, Sung Jin Hwang, Joel Shor, George Toderici


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Variable Rate Image Compression with Recurrent Neural Networks


Mar 01, 2016
George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

* Under review as a conference paper at ICLR 2016 

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