Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018

Diederik P. Kingma

Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

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Title
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo Shogo Seki DiffM 31 21 0 06 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 15 81 0 06 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 37 13 0 05 Oct 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 14 3 0 05 Oct 2020
Representational aspects of depth and conditioning in normalizing flows Frederic Koehler Viraj Mehta Andrej Risteski TPM 6 23 0 02 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
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior Hong-Ye Hu Dian Wu Yi-Zhuang You Bruno A. Olshausen Yubei Chen BDL DRL 25 15 0 30 Sep 2020
One Reflection Suffice Alexander Mathiasen Frederik Hvilshoj 14 0 0 30 Sep 2020
Geometric Disentanglement by Random Convex Polytopes M. Joswig M. Kaluba Lukas Ruff 30 3 0 29 Sep 2020
What if Neural Networks had SVDs? Alexander Mathiasen Frederik Hvilshoj Jakob Rødsgaard Jørgensen Anshul Nasery Davide Mottin 6 8 0 29 Sep 2020
Secure Data Sharing With Flow Model Chenwei Wu Chenzhuang Du Yang Yuan FedML 20 4 0 24 Sep 2020
On the representation and learning of monotone triangular transport maps Ricardo Baptista Youssef Marzouk O. Zahm 13 46 0 22 Sep 2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering Doyup Lee Yeongjae Cheon Wook-Shin Han AAML OOD 16 16 0 21 Sep 2020
Haar Wavelet based Block Autoregressive Flows for Trajectories Apratim Bhattacharyya C. Straehle Mario Fritz Bernt Schiele AI4TS 26 15 0 21 Sep 2020
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition Chaoyou Fu Xiang Wu Yibo Hu Huaibo Huang Ran He CVBM 13 83 0 20 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder Liang Liang Linhai Ma Linchen Qian Jiasong Chen OODD 22 2 0 17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Yue Liu Kim Ji Eun Ding Zhao AAML 16 100 0 16 Sep 2020
Generative models with kernel distance in data space Szymon Knop Marcin Mazur Przemysław Spurek Jacek Tabor Igor T. Podolak GAN SyDa 27 11 0 15 Sep 2020
Exploration of End-to-end Synthesisers forZero Resource Speech Challenge 2020 Karthik Pandia D.S. Anusha Prakash M. M. H. Murthy 18 4 0 10 Sep 2020
Blind Image Restoration with Flow Based Priors Leonhard Helminger M. Bernasconi Abdelaziz Djelouah Markus Gross Christopher Schroers 14 3 0 09 Sep 2020
Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable Yang Liu Zhenyue Qin Saeed Anwar Sabrina Caldwell Tom Gedeon 6 18 0 07 Sep 2020
Stabilizing Invertible Neural Networks Using Mixture Models Paul Hagemann Sebastian Neumayer 9 39 0 07 Sep 2020
Neural Crossbreed: Neural Based Image Metamorphosis Sanghun Park Kwanggyoon Seo Jun-yong Noh 17 4 0 02 Sep 2020
Variational Mixture of Normalizing Flows Guilherme G. P. Freitas Pires Mário A. T. Figueiredo BDL DRL 12 16 0 01 Sep 2020
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow Yuchao Gu Le Zhang Yun-Hai Liu Shao-Ping Lu Ming-Ming Cheng 23 6 0 01 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
Langevin Cooling for Domain Translation Vignesh Srinivasan Klaus-Robert Muller Wojciech Samek Shinichi Nakajima 49 1 0 31 Aug 2020
Unpaired Learning of Deep Image Denoising Xiaohe Wu Ming-Yu Liu Yue Cao Dongwei Ren W. Zuo SSL 32 141 0 31 Aug 2020
What makes fake images detectable? Understanding properties that generalize Lucy Chai David Bau Ser-Nam Lim Phillip Isola AAML WIGM 32 300 0 24 Aug 2020
Lossy Image Compression with Normalizing Flows Leonhard Helminger Abdelaziz Djelouah Markus Gross Christopher Schroers 19 47 0 24 Aug 2020
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder Hyun-Wook Yoon Sang-Hoon Lee Hyeong-Rae Noh Seong-Whan Lee 20 11 0 16 Aug 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 19 280 0 14 Aug 2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 27 26 0 14 Aug 2020
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions T. Glüsenkamp 22 1 0 13 Aug 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 20 29 0 12 Aug 2020
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection Gengxing Wang Jiahuan Zhou Ying Nian Wu AAML 26 22 0 11 Aug 2020
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows Brian Groenke Luke Madaus C. Monteleoni BDL 7 46 0 11 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 35 153 0 06 Aug 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations Davis Rempe Tolga Birdal Yongheng Zhao Zan Gojcic Srinath Sridhar Leonidas J. Guibas 3DPC 37 71 0 06 Aug 2020
Exchangeable Neural ODE for Set Modeling Yang Li Haidong Yi Christopher M. Bender Siyuan Shan Junier B. Oliva BDL 18 30 0 06 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network S. Razavi Reshad Hosseini Tina Behzad BDL 24 0 0 05 Aug 2020
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs Robin Rombach Patrick Esser Bjorn Ommer 22 16 0 04 Aug 2020
A Spectral Energy Distance for Parallel Speech Synthesis A. Gritsenko Tim Salimans Rianne van den Berg Jasper Snoek Nal Kalchbrenner 21 70 0 03 Aug 2020
Solving inverse problems using conditional invertible neural networks G. A. Padmanabha N. Zabaras AI4CE 14 63 0 31 Jul 2020
Generative Classifiers as a Basis for Trustworthy Image Classification Radek Mackowiak Lynton Ardizzone Ullrich Kothe Carsten Rother 22 4 0 29 Jul 2020
Interpreting Spatially Infinite Generative Models Chaochao Lu Richard Turner Yingzhen Li Nate Kushman GAN 18 5 0 24 Jul 2020
SeismoFlow -- Data augmentation for the class imbalance problem R. Milidiú Luis Müller AI4TS 28 1 0 23 Jul 2020
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture Fady K. Fahmy M. Khalil Hazem M. Abbas 47 20 0 22 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 31 107 0 20 Jul 2020