A Hybrid Approach Between Adversarial Generative Networks and
Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression

v1v2 (latest)

A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression

11 June 2019

ArXiv (abs)PDF HTML

Papers citing "A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression"

6 / 6 papers shown

Title
Deep Image Compression via End-to-End Learning Haojie Liu Tong Chen Qiu Shen Tao Yue Zhan Ma 48 41 0 05 Jun 2018
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize Andrew P. Aitken C. Ledig Lucas Theis Jose Caballero Zehan Wang Wenzhe Shi 56 179 0 10 Jul 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 58 828 0 18 Aug 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 199 8,859 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.