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

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

11 June 2019

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

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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