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
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 103 358 0 13 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
IICNet: A Generic Framework for Reversible Image Conversion Ka Leong Cheng Yueqi Xie Qifeng Chen 48 24 0 09 Sep 2021
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning S. Zobaed Md Fazle Rabby Md Istiaq Hossain Ekram Hossain Sazib Hasan Asif Karim Khan Md. Hasib AAML 46 14 0 07 Sep 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Jingyu Sun OODD 29 45 0 04 Sep 2021
Variable Augmented Network for Invertible Modality Synthesis-Fusion Yuhao Wang Ruirui Liu Zihao Li Cailian Yang Qiegen Liu 33 2 0 02 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021
One-shot domain adaptation for semantic face editing of real world images using StyleALAE Ravi Kiran Reddy K. Shubham Gopalakrishnan Venkatesh Sriram Gandikota Sarthak Khoche D. Jayagopi G. Srinivasaraghavan CVBM 29 1 0 31 Aug 2021
Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models Ling Guo Hao Wu Tao Zhou AI4CE 14 45 0 30 Aug 2021
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models Yu Wang F. Liu Daniele E. Schiavazzi TPM BDL 22 14 0 28 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 37 71 0 26 Aug 2021
Probabilistic Modeling for Human Mesh Recovery Nikos Kolotouros Georgios Pavlakos Dinesh Jayaraman Kostas Daniilidis 3DH 28 166 0 26 Aug 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Dan Su Dong Yu DiffM 33 42 0 26 Aug 2021
Integrated Speech and Gesture Synthesis Siyang Wang Simon Alexanderson Joakim Gustafson Jonas Beskow G. Henter Éva Székely 37 19 0 25 Aug 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training Hari Prasanna Das Ryan Tran Japjot Singh Yu-Wen Lin C. Spanos OOD 23 11 0 25 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 39 11 0 23 Aug 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu Jiacheng Ma Jiacheng Sun Zewei Chen Rongxin Jiang Zhenguo Li AAML 29 21 0 20 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 45 10 0 19 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 34 10 0 18 Aug 2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Zhenyu He Linchao Bao SLR 43 102 0 15 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 36 5 0 12 Aug 2021
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Christos Sakaridis Andreas Lugmayr Kaixuan Zhang Martin Danelljan Luc Van Gool Radu Timofte 53 102 0 11 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression Yueqi Xie Ka Leong Cheng Qifeng Chen 52 189 0 08 Aug 2021
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation Thanh-Dat Truong C. Duong Ngan Le Son Lam Phung Chase Rainwater Khoa Luu 67 39 0 06 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 89 700 0 06 Aug 2021
Sketch Your Own GAN Sheng-Yu Wang David Bau Jun-Yan Zhu GAN 21 70 0 05 Aug 2021
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease Apoorva Sikka Skand Jitender Singh Virk Deepti R. Bathula MedIm 30 33 0 04 Aug 2021
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 28 17 0 04 Aug 2021
Few-Shot Domain Adaptation For End-to-End Communication Jayaram Raghuram Yijing Zeng Dolores García R. Ruiz S. Jha Joerg Widmer Suman Banerjee 21 5 0 02 Aug 2021
Missingness Augmentation: A General Approach for Improving Generative Imputation Models Yufeng Wang Dan Li Cong Xu Min Yang 30 4 0 31 Jul 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 54 35 0 30 Jul 2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes Wenhang Ge Chunyan Pan Ancong Wu Hongwei Zheng Weishi Zheng 27 26 0 29 Jul 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 35 16 0 28 Jul 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 31 2 0 28 Jul 2021
Discrete Denoising Flows Alexandra Lindt Emiel Hoogeboom BDL DRL 36 3 0 24 Jul 2021
Human Pose Regression with Residual Log-likelihood Estimation Jiefeng Li Siyuan Bian Ailing Zeng Can Wang Bo Pang Wentao Liu Cewu Lu 27 193 0 23 Jul 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Towards Privacy-preserving Explanations in Medical Image Analysis H. Montenegro W. Silva Jaime S. Cardoso 14 7 0 20 Jul 2021
ANFIC: Image Compression Using Augmented Normalizing Flows Yung-Han Ho Chih-Chun Chan Wen-Hsiao Peng Hsueh-Ming Hang Marek Domanski 13 46 0 18 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 45 67 0 17 Jul 2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 14 0 0 17 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets Muhammed Muzammul Xi Li ObjD 26 11 0 16 Jul 2021
On the expressivity of bi-Lipschitz normalizing flows Alexandre Verine Benjamin Négrevergne F. Rossi Y. Chevaleyre TPM 31 17 0 15 Jul 2021
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests Sean Kulinski S. Bagchi David I. Inouye OOD 26 27 0 14 Jul 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 37 8 0 13 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows Aihua Mao Zihui Du Junhui Hou Yaqi Duan Yong Liu Ying He 3DPC 50 35 0 13 Jul 2021
Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren H. Dai Zihang Dai Mengjiao Yang J. Leskovec Dale Schuurmans Bo Dai 87 78 0 12 Jul 2021
Semantic and Geometric Unfolding of StyleGAN Latent Space Mustafa Shukor Xu Yao B. Damodaran Pierre Hellier GAN 37 4 0 09 Jul 2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives Yuan Xue Yuanchen Guo Han Zhang Tao Xu Song-Hai Zhang Xiaolei Huang EGVM 3DV 26 22 0 09 Jul 2021