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
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 73 0 0 11 Nov 2020
Detecting Outliers with Foreign Patch Interpolation Jeremy Tan Benjamin Hou James Batten Huaqi Qiu Bernhard Kainz MedIm 91 53 0 09 Nov 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation Ruizhe Li Xiao Li Guanyi Chen Chenghua Lin DRL 100 17 0 02 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 210 45 0 26 Oct 2020
Few-Shot Adaptation of Generative Adversarial Networks Esther Robb Wen-Sheng Chu Abhishek Kumar Jia-Bin Huang 148 100 0 22 Oct 2020
CLAR: Contrastive Learning of Auditory Representations Haider Al-Tahan Y. Mohsenzadeh SSL 225 61 0 19 Oct 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders Masha Itkina Boris Ivanovic Ransalu Senanayake Mykel J. Kochenderfer Marco Pavone 142 18 0 19 Oct 2020
TM-NET: Deep Generative Networks for Textured Meshes Lin Gao Tong Wu Yu-Jie Yuan Ming Lin Yu-kun Lai Hao Zhang GAN 80 20 0 13 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 226 86 0 06 Oct 2020
Winning Lottery Tickets in Deep Generative Models Neha Kalibhat Yogesh Balaji Soheil Feizi WIGM 131 42 0 05 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 62 13 0 05 Oct 2020
Assisting the Adversary to Improve GAN Training Andreas Munk William Harvey Frank Wood GAN 72 0 0 03 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 197 130 0 01 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Matthias Kirchler Thomas G. Dietterich Klaus-Robert Muller UQCV 316 846 0 24 Sep 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers Jaemin Cho Jiasen Lu Dustin Schwenk Hannaneh Hajishirzi Aniruddha Kembhavi VLM MLLM 138 104 0 23 Sep 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 64 5 0 17 Sep 2020
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution Seung-Jun Han Akash Srivastava C. Hurwitz P. Sattigeri David D. Cox 79 8 0 09 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 80 17 0 09 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa Soheil Feizi AAML 148 62 0 05 Sep 2020
GIF: Generative Interpretable Faces Partha Ghosh Pravir Singh Gupta Roy Uziel Anurag Ranjan Michael J. Black Timo Bolkart CVBM AI4CE 157 77 0 31 Aug 2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior Shuyu Lin R. Clark DRL 122 4 0 31 Aug 2020
On Attribution of Deepfakes Baiwu Zhang Jin Peng Zhou Ilia Shumailov Nicolas Papernot WIGM 74 11 0 20 Aug 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation Jeevan Devaranjan Amlan Kar Sanja Fidler 107 91 0 20 Aug 2020
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 224 347 0 09 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 110 54 0 30 Jul 2020
$Generative networks as inverse problems with fractional wavelet scattering networks$ Generative networks as inverse problems with fractional wavelet scattering networks Jiasong Wu Jing Zhang Fuzhi Wu Youyong Kong Guanyu Yang L. Senhadji H. Shu GAN 73 1 0 28 Jul 2020
Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu L. Lui UQCV 57 6 0 25 Jul 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak N. Xu Zhe Lin Yilin Wang 88 13 0 20 Jul 2020
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry C. Schockaert Vadim Macher A. Schmitz 60 18 0 15 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 137 5 0 14 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets Shichang Tang 59 18 0 13 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 400 966 0 08 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization Rogan Morrow Wei-Chen Chiu DRL 54 0 0 07 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 303 900 0 05 Jul 2020
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps M. Stetter E. Lang SSL AI4CE 82 0 0 03 Jul 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 44 0 0 28 Jun 2020
Lattice Representation Learning Luis A. Lastras 64 1 0 24 Jun 2020
Normalizing Flows Across Dimensions Edmond Cunningham Renos Zabounidis Abhinav Agrawal Ina Fiterau Daniel Sheldon DRL 94 27 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 98 8 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 2.0K 20,962 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 97 2 0 18 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 155 124 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 386 1,233 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 336 1,767 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 128 8 0 14 Jun 2020
Discrete Latent Variable Representations for Low-Resource Text Classification Shuning Jin Sam Wiseman K. Stratos Karen Livescu BDL 95 16 0 11 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 126 32 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 122 288 0 09 Jun 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 115 10 0 08 Jun 2020