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Standard lossy image compression algorithms aim to preserve an image's appearance, while minimizing the number of bits needed to transmit it.
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Deep learning face attributes in the wild
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Johannes Ballé, Valero Laparra, and Eero P Simoncelli · 2016
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Recurrent world models facilitate policy evolution
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DVC: An end-to-end deep video compression framework
Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, and Zhiyong Gao · 2019
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Salvator Lombardo, Jun Han, Christopher Schroers, and Stephan Mandt · 2019
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WaveNet: A generative model for raw audio
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George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, and Michele Covell · 2017
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Lucas Theis, Wenzhe Shi, Andrew Cunningham, and Ferenc Huszár · 2017
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Soft-to-hard vector quantization for end-to-end learning compressible representations
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, and Luc Van Gool · 2017
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Jesse Engel, Matthew Hoffman, and Adam Roberts · 2017
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, and Luc Van Gool · 2018
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Learning convolutional networks for content-weighted image compression
Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, and David Zhang · 2018
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High-fidelity generative image compression
Fabian Mentzer, George D Toderici, Michael Tschannen, and Eirikur Agustsson · 2020
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Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano · 2020
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NVAE: A deep hierarchical variational autoencoder
Arash Vahdat and Jan Kautz · 2020
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Encoding in style: a StyleGAN encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2020
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AudioViewer: Learning to visualize sound
Yuchi Zhang, Willis Peng, Bastian Wandt, and Helge Rhodin · 2020
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Language models are few-shot learners
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The hearing aid dilemma: amplification, compression, and distortion of the neural code
Alex Armstrong, Chi Chung Lam, Shievanie Sabesan, and Nicholas A Lesica · 2020
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Personalization of hearing aid compression by human-in-the-loop deep reinforcement learning
Nasim Alamdari, Edward Lobarinas, and Nasser Kehtarnavaz · 2020
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Designing an encoder for StyleGAN image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
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Jacob Walker, Ali Razavi, and Aäron van den Oord · 2021
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VideoGPT: Video generation using VQ-VAE and transformers
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, and Aravind Srinivas · 2021
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