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
Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn Chiyoon Kim Youngjoon Hong Hyunwoo J. Kim TPM 46 8 0 15 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 40 8 0 14 Oct 2022
Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario Emily R. Bartusiak Edward J. Delp 27 12 0 14 Oct 2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data Magda Amiridi Gregory Darnell S. Jewell AI4TS 32 2 0 14 Oct 2022
Learning Multivariate CDFs and Copulas using Tensor Factorization Magda Amiridi N. Sidiropoulos 25 1 0 13 Oct 2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters Heyuan Yao Zhenhua Song Bin Chen Libin Liu DRL VGen 16 41 0 12 Oct 2022
Aggregating Layers for Deepfake Detection Amir Jevnisek S. Avidan 3DPC 48 7 0 11 Oct 2022
Enabling ISP-less Low-Power Computer Vision Gourav Datta Zeyu Liu Zihan Yin Linyu Sun Akhilesh R. Jaiswal Peter A. Beerel VLM 21 7 0 11 Oct 2022
Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks Alexander Luce Ali Mahdavi H. Wankerl F. Marquardt 35 5 0 10 Oct 2022
Scaling Up Probabilistic Circuits by Latent Variable Distillation Hoang Trung-Dung Honghua Zhang Guy Van den Broeck TPM 25 25 0 10 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 37 27 0 09 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 19 2 0 06 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 66 1,081 0 06 Oct 2022
How Image Generation Helps Visible-to-Infrared Person Re-Identification? Honghu Pan Yongyong Chen Yunqing He Xin Li Zhenyu He 17 2 0 04 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 26 0 0 02 Oct 2022
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping Aamir Mustafa Param Hanji Rafał K. Mantiuk 45 9 0 30 Sep 2022
Training Normalizing Flows from Dependent Data Matthias Kirchler C. Lippert Marius Kloft TPM 29 2 0 29 Sep 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices Chenlin Meng Linqi Zhou Kristy Choi Tri Dao Stefano Ermon TPM 136 11 0 28 Sep 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion Nisha Huang Fan Tang Weiming Dong Changsheng Xu DiffM 93 40 0 27 Sep 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 45 6 0 24 Sep 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 103 80 0 22 Sep 2022
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation Robin Zbinden 33 3 0 22 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 35 6 0 22 Sep 2022
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots Dario Mantegazza Alessandro Giusti L. Gambardella Jérôme Guzzi 31 13 0 20 Sep 2022
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation Chuanxia Zheng L. Vuong Jianfei Cai Dinh Q. Phung MQ 82 73 0 19 Sep 2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models Cansu Korkmaz A. Murat Tekalp Zafer Doğan Erkut Erdem Aykut Erdem 40 2 0 18 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu Saman Motamed Shaunak Srivastava Fernando de la Torre VLM DiffM 26 34 0 14 Sep 2022
High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation Shi-zhong Cai Zhijun Zhang Liqun Chen Luxin Yan Sheng Zhong Xu Zou DRL 33 14 0 12 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 42 4 0 09 Sep 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 38 6 0 04 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 226 1,320 0 02 Sep 2022
Isotropic Representation Can Improve Dense Retrieval Euna Jung J. Park Jaekeol Choi Sungyoon Kim Wonjong Rhee OOD 30 5 0 01 Sep 2022
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model Mingyuan Zhang Zhongang Cai Liang Pan Fangzhou Hong Xinying Guo Lei Yang Ziwei Liu DiffM VGen 58 542 0 31 Aug 2022
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data R. Schmier Ullrich Kothe C. Straehle 21 5 0 30 Aug 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis Wanshu Fan Yen-Chun Chen Dongdong Chen Yu Cheng Lu Yuan Yu-Chiang Frank Wang DiffM 39 92 0 29 Aug 2022
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy Jingru Li Sheng Zhou Liangcheng Li Haishuai Wang Zhi Yu Jiajun Bu 41 14 0 29 Aug 2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++ Barath Mohan Umapathi Kushal Chauhan Pradeep Shenoy D. Sridharan 42 0 0 29 Aug 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 29 2 0 29 Aug 2022
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression Yitong Xia Bin Chen Yan Feng Tian-shuo Ge AI4CE 16 0 0 26 Aug 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 24 1 0 24 Aug 2022
Towards Open Set Video Anomaly Detection Yuansheng Zhu Wentao Bao Qi Yu EDL 19 23 0 23 Aug 2022
Aging prediction using deep generative model toward the development of preventive medicine Hisaichi Shibata S. Hanaoka Y. Nomura Naoto Hayashi O. Abe MedIm 23 0 0 23 Aug 2022
Neural PCA for Flow-Based Representation Learning Shen Li Bryan Hooi DRL 13 1 0 23 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 27 1 0 20 Aug 2022
Wildfire Forecasting with Satellite Images and Deep Generative Model T. Hoang Sang Truong Chris Schmidt VGen 24 0 0 19 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative Models Mu Cai Yixuan Li OODD 24 31 0 18 Aug 2022
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows Janis Postels Martin Danelljan Luc Van Gool F. Tombari TPM 30 3 0 18 Aug 2022
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling Ki-Ung Song DiffM 27 7 0 15 Aug 2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen MedIm 9 2 0 09 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 38 290 0 08 Aug 2022