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Generative adversarial networks have seen rapid development in recent years and have led to remarkable improvements in generative modelling of images.
Signal estimation from modified short-time Fourier transform
Daniel Griffin and Jae Lim · 1984
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Fast signal reconstruction from magnitude STFT spectrogram based on spectrogram consistency
Jonathan Le Roux, Hirokazu Kameoka, Nobutaka Ono, and Shigeki Sagayama · 2010
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A kernel two-sample test
A. Gretton, K. Borgwardt, M. Rasch, B. Schölkopf, and A. Smola · 2012
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew Saxe, James McClelland, and Surya Ganguli · 2014
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Deep generative image models using a Laplacian pyramid of adversarial networks
Emily L Denton, Soumith Chintala, Arthur Szlam, and Rob Fergus · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Deep Speech 2: End-to-end speech recognition in English and Mandarin
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, and Zhenyao Zhu · 2016
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Neural photo editing with introspective adversarial networks
Andrew Brock, Theodore Lim, James M. Ritchie, and Nick Weston · 2016
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Precomputed real-time texture synthesis with Markovian generative adversarial networks
Chuan Li and Michael Wand · 2016
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Rethinking the Inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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WaveNet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu · 2016
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2016
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Deep Voice: Real-time neural text-to-speech
Sercan Ö Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, et al · 2017
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Adversarial feature learning
Jeff Donahue, Philipp Krähenbühl, and Trevor Darrell · 2017
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Neural audio synthesis of musical notes with WaveNet autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, and Karen Simonyan · 2017
Cited alongside, same era.
Deep Voice 2: Multi-speaker neural text-to-speech
Andrew Gibiansky, Sercan Arik, Gregory Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, and Yanqi Zhou · 2017
Cited alongside, same era.
GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Jae Hyun Lim and Jong Chul Ye · 2017
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TGANv2: Efficient training of large models for video generation with multiple subsampling layers
Masaki Saito and Shunta Saito · 2018
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Natural TTS synthesis by conditioning WaveNet on Mel spectrogram predictions
Jonathan Shen, Ruoming Pang, Ron J Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, Rj Skerrv-Ryan, et al · 2018
Later among the works it cites.
Parallel WaveNet: Fast high-fidelity speech synthesis
Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George Driessche, Edward Lockhart, Luis Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, and Demis Hassabis · 2018
Later among the works it cites.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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SampleRNN: An unconditional end-to-end neural audio generation model
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, and Yoshua Bengio · 2017
Cited alongside, same era.
Char2Wav: End-to-end speech synthesis
Jose Sotelo, Soroush Mehri, Kundan Kumar, Joao Felipe Santos, Kyle Kastner, Aaron Courville, and Yoshua Bengio · 2017
Cited alongside, same era.
Tacotron: Towards end-to-end speech synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, et al · 2017
Cited alongside, same era.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
Demystifying MMD GANs
Mikołaj Bińkowski, Dougal J Sutherland, Michael Arbel, and Arthur Gretton · 2018
Cited alongside, same era.
Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
Cited alongside, same era.
Aidan Clark, Jeff Donahue, and Karen Simonyan · 2019
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Adversarial audio synthesis
Chris Donahue, Julian McAuley, and Miller Puckette · 2019
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Large scale adversarial representation learning
Jeff Donahue and Karen Simonyan · 2019
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GANSynth: Adversarial neural audio synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, and Adam Roberts · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Fréchet audio distance: A metric for evaluating music enhancement algorithms
Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek, and Matthew Sharifi · 2019
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FloWaveNet: A generative flow for raw audio
Sungwon Kim, Sang-Gil Lee, Jongyoon Song, Jaehyeon Kim, and Sungroh Yoon · 2019
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Expediting TTS synthesis with adversarial vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, and Julian McAuley · 2019
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ClariNet: Parallel wave generation in end-to-end text-to-speech
Wei Ping, Kainan Peng, and Jitong Chen · 2019
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WaveGlow: A flow-based generative network for speech synthesis
Ryan Prenger, Rafael Valle, and Bryan Catanzaro · 2019
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MelNet: A generative model for audio in the frequency domain
Sean Vasquez and Mike Lewis · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
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