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"

50 / 1,107 papers shown

Title
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck Yang Zhao Ping Yu Suchismit Mahapatra Qinliang Su Changyou Chen DRL 17 2 0 22 Apr 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 34 18 0 21 Apr 2020
Discrete Variational Attention Models for Language Generation Xianghong Fang Haoli Bai Zenglin Xu Michael Lyu Irwin King DRL 15 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 12 4 0 16 Apr 2020
Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders Ashis Pati Alexander Lerch DRL 24 3 0 11 Apr 2020
Depthwise Discrete Representation Learning Iordanis Fostiropoulos BDL 22 0 0 11 Apr 2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information K. Stratos Sam Wiseman SSL DRL 11 7 0 08 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 17 16 0 08 Apr 2020
Training End-to-end Single Image Generators without GANs Yael Vinker Nir Zabari Yedid Hoshen 27 1 0 07 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank Thorsten Eisenhofer Lea Schonherr Asja Fischer D. Kolossa Thorsten Holz 18 532 0 19 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada 12 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 27 28 0 13 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders Daniil Polykovskiy Dmitry Vetrov OffRL 23 8 0 04 Mar 2020
Variational Auto-Encoder: not all failures are equal Michele Sebag Victor Berger Michèle Sebag DRL 13 4 0 04 Mar 2020
VQ-DRAW: A Sequential Discrete VAE Alex Nichol BDL 20 3 0 03 Mar 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 30 117 0 27 Feb 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models Amur Ghose Abdullah M. Rashwan Pascal Poupart UQCV 18 8 0 25 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 33 16 0 23 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Hierarchical Quantized Autoencoders Will Williams Sam Ringer T. Ash John Hughes D. Macleod Jamie Dougherty BDL DRL 19 61 0 19 Feb 2020
A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs Florian List G. Lewis 16 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 39 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 16 130 0 06 Feb 2020
Controlling generative models with continuous factors of variations Antoine Plumerault Hervé Le Borgne C´eline Hudelot DRL 30 127 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 32 24 0 11 Jan 2020
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 36 5 0 21 Dec 2019
Neural Design Network: Graphic Layout Generation with Constraints Hsin-Ying Lee Lu Jiang Irfan Essa Madison Le Haifeng Gong Ming-Hsuan Yang Weilong Yang 40 136 0 19 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 31 80 0 15 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks Yongpeng Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 18 88 0 02 Dec 2019
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection David Zimmerer Jens Petersen Klaus Maier-Hein DRL 20 7 0 27 Nov 2019
Noise Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada NoLa OOD 27 30 0 26 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 22 10 0 24 Nov 2019
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech David Harwath Wei-Ning Hsu James R. Glass 28 84 0 21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 30 5 0 19 Nov 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders Yu Duan Canwen Xu Jiaxin Pei Jialong Han Chenliang Li 24 42 0 10 Nov 2019
A Method to Model Conditional Distributions with Normalizing Flows Zhisheng Xiao Qing Yan Y. Amit BDL 9 6 0 05 Nov 2019
On Distributed Quantization for Classification Osama A. Hanna Yahya H. Ezzeldin Tara Sadjadpour Christina Fragouli Suhas Diggavi MQ 19 14 0 01 Nov 2019
Implicit competitive regularization in GANs Florian Schäfer Hongkai Zheng Anima Anandkumar GAN 16 35 0 13 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 28 2 0 07 Oct 2019
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm Guillaume Verdon Jacob A. Marks Sasha Nanda Stefan Leichenauer Jack Hidary DRL 16 98 0 04 Oct 2019
Unsupervised Eyeglasses Removal in the Wild Bingwen Hu Zhedong Zheng Ping Liu Wankou Yang Mingwu Ren CVBM 35 36 0 16 Sep 2019
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation X. Liang Junmin Wu Jing Cao MGen 207 17 0 08 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang Jean Michel D. Sellier Yoshua Bengio DiffM 3DV 30 66 0 03 Sep 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 34 205 0 16 Aug 2019
Adversarial Video Generation on Complex Datasets Aidan Clark Jeff Donahue Karen Simonyan VGen GAN 27 74 0 15 Jul 2019
MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation X. Liang Junmin Wu Yan Yin MGen GAN 31 8 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 36 372 0 01 Jul 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 22 56 0 27 Jun 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 28 4 0 28 May 2019