Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

8 March 2021

Papers citing "Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models"

50 / 223 papers shown

Title
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 120 243 0 07 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 67 281 0 10 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 88 1,478 0 04 Jan 2018
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 50 270 0 28 Dec 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 140 858 0 28 Nov 2017
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 46 1,008 0 28 Nov 2017
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 104 1,049 0 05 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 161 4,928 0 02 Nov 2017
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 57 540 0 30 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 105 7,318 0 27 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference Chin-Wei Huang Ahmed Touati Laurent Dinh M. Drozdzal Mohammad Havaei Laurent Charlin Aaron Courville BDL DRL 65 28 0 06 Oct 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 54 415 0 18 Jul 2017
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 63 109 0 23 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 229 11,962 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 135 1,343 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 55 628 0 19 May 2017
Geometric GAN Jae Hyun Lim J. C. Ye GAN 57 516 0 08 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 137 9,509 0 31 Mar 2017
Parallel Multiscale Autoregressive Density Estimation Scott E. Reed Aaron van den Oord Nal Kalchbrenner Sergio Gomez Colmenarejo Ziyun Wang Dan Belov Nando de Freitas BDL 62 205 0 10 Mar 2017
Unsupervised Image-to-Image Translation Networks Ming-Yuan Liu Thomas Breuel Jan Kautz VLM 125 2,731 0 02 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 53 157 0 28 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 62 933 0 19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 74 2,102 0 17 Jan 2017
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose M. R. Sotelo Aaron Courville Yoshua Bengio 69 597 0 22 Dec 2016
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge J. Belongie GAN 54 459 0 13 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris N. Metaxas GAN 87 2,717 0 10 Dec 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 60 340 0 15 Nov 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 255 4,554 0 13 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 109 674 0 08 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 221 5,323 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 111 2,523 0 02 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 380 3,204 0 30 Oct 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 70 435 0 14 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 852 14,493 0 07 Oct 2016
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 38 141 0 29 Sep 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 303 7,361 0 12 Sep 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 118 1,112 0 11 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 131 2,495 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 83 1,805 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 371 8,999 0 10 Jun 2016
Deep Directed Generative Models with Energy-Based Probability Estimation Taesup Kim Yoshua Bengio GAN 32 135 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 93 1,648 0 02 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 185 3,681 0 26 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 268 7,951 0 23 May 2016
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 76 320 0 10 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks Alexey Dosovitskiy Thomas Brox DRL GAN 76 1,137 0 08 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 77 909 0 06 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 399 2,563 0 25 Jan 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 134 2,061 0 31 Dec 2015