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 / 1,128 papers shown

Title
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 452 2,570 0 04 Jan 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder Tal Daniel Aviv Tamar DRL 83 44 0 24 Dec 2020
Generative Interventions for Causal Learning Chengzhi Mao Augustine Cha Amogh Gupta Hongya Wang Junfeng Yang Carl Vondrick CML OOD 90 66 0 22 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris Andrei Bursuc Gilles Puy N. Komodakis Matthieu Cord P. Pérez SSL 102 71 0 21 Dec 2020
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 148 3,016 0 17 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 94 11 0 16 Dec 2020
Full-Glow: Fully conditional Glow for more realistic image generation Moein Sorkhei G. Henter Hedvig Kjellström 66 6 0 10 Dec 2020
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation Won-Dong Jang D. Wei Xingxuan Zhang B. Leahy Helen Y Yang James Tompkin D. Ben-Yosef D. Needleman Hanspeter Pfister 72 16 0 02 Dec 2020
Unpaired Image-to-Image Translation via Latent Energy Transport Yang Zhao Changyou Chen 100 28 0 01 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 605 6,609 0 26 Nov 2020
Generative Layout Modeling using Constraint Graphs W. Para Paul Guerrero Tom Kelly Leonidas Guibas Peter Wonka 91 71 0 26 Nov 2020
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation Davis Wertheimer Omid Poursaeed B. Hariharan 43 9 0 25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 96 72 0 24 Nov 2020
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data Gerald Baier Antonin Deschemps M. Schmitt Naoto Yokoya GAN 88 37 0 23 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 104 45 0 15 Nov 2020
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval Kazuma Kobayashi Ryuichiro Hataya Y. Kurose Tatsuya Harada Ryuji Hamamoto MedIm 68 15 0 12 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 63 0 0 11 Nov 2020
Detecting Outliers with Foreign Patch Interpolation Jeremy Tan Benjamin Hou James Batten Huaqi Qiu Bernhard Kainz MedIm 81 50 0 09 Nov 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation Ruizhe Li Xiao Li Guanyi Chen Chenghua Lin DRL 69 17 0 02 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 170 41 0 26 Oct 2020
Few-Shot Adaptation of Generative Adversarial Networks Esther Robb Wen-Sheng Chu Abhishek Kumar Jia-Bin Huang 111 100 0 22 Oct 2020
CLAR: Contrastive Learning of Auditory Representations Haider Al-Tahan Y. Mohsenzadeh SSL 203 56 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 128 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 78 19 0 13 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 147 83 0 06 Oct 2020
Winning Lottery Tickets in Deep Generative Models Neha Kalibhat Yogesh Balaji Soheil Feizi WIGM 111 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 47 0 0 03 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 133 124 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 164 806 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 102 102 0 23 Sep 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 56 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 63 8 0 09 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 68 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 128 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 131 77 0 31 Aug 2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior Shuyu Lin R. Clark DRL 108 4 0 31 Aug 2020
On Attribution of Deepfakes Baiwu Zhang Jin Peng Zhou Ilia Shumailov Nicolas Papernot WIGM 67 11 0 20 Aug 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation Jeevan Devaranjan Amlan Kar Sanja Fidler 81 89 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 152 329 0 09 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 87 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 59 1 0 28 Jul 2020
Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu L. Lui UQCV 49 5 0 25 Jul 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak N. Xu Zhe Lin Yilin Wang 85 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 48 18 0 15 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 104 5 0 14 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets Shichang Tang 55 18 0 13 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 227 919 0 08 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization Rogan Morrow Wei-Chen Chiu DRL 45 0 0 07 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 259 878 0 05 Jul 2020