Generating Diverse High-Fidelity Images with VQ-VAE-2

2 June 2019

Ali Razavi

Papers citing "Generating Diverse High-Fidelity Images with VQ-VAE-2"

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Title
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps M. Stetter E. Lang SSL AI4CE 70 0 0 03 Jul 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 36 0 0 28 Jun 2020
Lattice Representation Learning Luis A. Lastras 51 1 0 24 Jun 2020
Normalizing Flows Across Dimensions Edmond Cunningham Renos Zabounidis Abhinav Agrawal Ina Fiterau Daniel Sheldon DRL 68 26 0 23 Jun 2020
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects Bryan G. Cardenas Devanshu Arya D. K. Gupta DiffM 110 6 0 22 Jun 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 86 8 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 1.2K 18,550 0 19 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Carlos Guestrin J. Susskind GAN 66 2 0 18 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 131 121 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 332 1,170 0 16 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 256 1,650 0 15 Jun 2020
Structure by Architecture: Structured Representations without Regularization Felix Leeb Giulia Lanzillotta Yashas Annadani M. Besserve Stefan Bauer Bernhard Schölkopf OOD CML 108 8 0 14 Jun 2020
Discrete Latent Variable Representations for Low-Resource Text Classification Shuning Jin Sam Wiseman K. Stratos Karen Livescu BDL 71 15 0 11 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 98 32 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 108 276 0 09 Jun 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 96 10 0 08 Jun 2020
Unsupposable Test-data Generation for Machine-learned Software Naoto Sato Hironobu Kuruma H. Ogawa OOD 23 1 0 21 May 2020
Unsupervised anomaly localization using VAE and beta-VAE Leixin Zhou Wenxiang Deng Xiaodong Wu DRL 98 17 0 19 May 2020
Robust Training of Vector Quantized Bottleneck Models A. Lancucki J. Chorowski Guillaume Sanchez R. Marxer Nanxin Chen Hans J. G. A. Dolfing Sameer Khurana Tanel Alumäe Antoine Laurent 91 60 0 18 May 2020
Learning Transferable Concepts in Deep Reinforcement Learning Diego Gomez Nicanor Quijano Luis Felipe Giraldo CLL SSL 44 0 0 16 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 82 7 0 12 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 233 758 0 30 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 42 1 0 26 Apr 2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck Yang Zhao Ping Yu Suchismit Mahapatra Qinliang Su Changyou Chen DRL 54 2 0 22 Apr 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 92 18 0 21 Apr 2020
Discrete Variational Attention Models for Language Generation Xianghong Fang Haoli Bai Zenglin Xu Michael Lyu Irwin King DRL 60 0 0 21 Apr 2020
Classify and Generate: Using Classification Latent Space Representations for Image Generations Saisubramaniam Gopalakrishnan Pranshu Ranjan Singh Yasin Yazici Chuan-Sheng Foo V. Chandrasekhar Arulmurugan Ambikapathi DiffM 48 3 0 16 Apr 2020
Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders Ashis Pati Alexander Lerch DRL 91 3 0 11 Apr 2020
Depthwise Discrete Representation Learning Iordanis Fostiropoulos BDL 48 0 0 11 Apr 2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information K. Stratos Sam Wiseman SSL DRL 25 7 0 08 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 53 17 0 08 Apr 2020
Training End-to-end Single Image Generators without GANs Yael Vinker Nir Zabari Yedid Hoshen 36 1 0 07 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 187 123 0 26 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank Thorsten Eisenhofer Lea Schonherr Asja Fischer D. Kolossa Thorsten Holz 192 564 0 19 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada 99 17 0 17 Mar 2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity Kai Qiao Jian Chen Linyuan Wang Chi Zhang Li Tong Bin Yan GAN 54 29 0 13 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders Daniil Polykovskiy Dmitry Vetrov OffRL 69 8 0 04 Mar 2020
Variational Auto-Encoder: not all failures are equal Michele Sebag Victor Berger Michèle Sebag DRL 44 4 0 04 Mar 2020
VQ-DRAW: A Sequential Discrete VAE Alex Nichol BDL 47 3 0 03 Mar 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 127 118 0 27 Feb 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models Amur Ghose Abdullah M. Rashwan Pascal Poupart UQCV 66 8 0 25 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 89 16 0 23 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 163 91 0 21 Feb 2020
Hierarchical Quantized Autoencoders Will Williams Sam Ringer T. Ash John Hughes D. Macleod Jamie Dougherty BDL DRL 93 66 0 19 Feb 2020
A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs Florian List G. Lewis 61 14 0 19 Feb 2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE Petru-Daniel Tudosiu Thomas Varsavsky Richard Shaw M. Graham P. Nachev Sebastien Ourselin Carole H. Sudre M. Jorge Cardoso MedIm 85 18 0 13 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 86 130 0 06 Feb 2020
Controlling generative models with continuous factors of variations Antoine Plumerault Hervé Le Borgne C´eline Hudelot DRL 93 127 0 28 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution Dongsheng An Yang Guo Min Zhang Xin Qi Na Lei S. Yau X. Gu DRL GAN 96 24 0 11 Jan 2020
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 129 5 0 21 Dec 2019