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
TM-NET: Deep Generative Networks for Textured Meshes Lin Gao Tong Wu Yu-Jie Yuan Ming Lin Yu-Kun Lai Hao Zhang GAN 40 19 0 13 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 13 81 0 06 Oct 2020
Winning Lottery Tickets in Deep Generative Models Neha Kalibhat Yogesh Balaji S. Feizi WIGM 17 42 0 05 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 34 13 0 05 Oct 2020
Assisting the Adversary to Improve GAN Training Andreas Munk William Harvey Frank Wood GAN 26 0 0 03 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 16 123 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 Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 25 782 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 30 102 0 23 Sep 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 12 4 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 9 8 0 09 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 24 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 S. Feizi AAML 81 60 0 05 Sep 2020
GIF: Generative Interpretable Faces Partha Ghosh Pravir Singh Gupta Roy Uziel Anurag Ranjan Michael J. Black Timo Bolkart CVBM AI4CE 10 77 0 31 Aug 2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior Shuyu Lin R. Clark DRL 21 4 0 31 Aug 2020
On Attribution of Deepfakes Baiwu Zhang Jin Peng Zhou Ilia Shumailov Nicolas Papernot WIGM 32 11 0 20 Aug 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation Jeevan Devaranjan Amlan Kar Sanja Fidler 28 88 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 41 318 0 09 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 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 29 1 0 28 Jul 2020
Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu L. Lui UQCV 8 5 0 25 Jul 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak N. Xu Zhe-nan Lin Yilin Wang 24 12 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 11 18 0 15 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 30 5 0 14 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets Shichang Tang 22 18 0 13 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 35 895 0 08 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization Rogan Morrow Wei-Chen Chiu DRL 26 0 0 07 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 90 864 0 05 Jul 2020
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps M. Stetter E. Lang SSL AI4CE 16 0 0 03 Jul 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 11 0 0 28 Jun 2020
Lattice Representation Learning Luis A. Lastras 19 1 0 24 Jun 2020
Normalizing Flows Across Dimensions Edmond Cunningham Renos Zabounidis Abhinav Agrawal Ina Fiterau Daniel Sheldon DRL 6 26 0 23 Jun 2020
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects Bryan G. Cardenas Devanshu Arya D. K. Gupta DiffM 28 6 0 22 Jun 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 36 8 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,154 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 32 2 0 18 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 33 119 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 51 1,124 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 52 1,588 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 46 8 0 14 Jun 2020
Discrete Latent Variable Representations for Low-Resource Text Classification Shuning Jin Sam Wiseman K. Stratos Karen Livescu BDL 14 15 0 11 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 20 10 0 08 Jun 2020
Unsupposable Test-data Generation for Machine-learned Software Naoto Sato Hironobu Kuruma H. Ogawa OOD 8 1 0 21 May 2020
Unsupervised anomaly localization using VAE and beta-VAE Leixin Zhou Wenxiang Deng Xiaodong Wu DRL 38 15 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 29 58 0 18 May 2020
Learning Transferable Concepts in Deep Reinforcement Learning Diego Gomez Nicanor Quijano Luis Felipe Giraldo CLL SSL 16 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 38 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 55 724 0 30 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 20 1 0 26 Apr 2020