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
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 38 11 0 17 Jun 2022
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images Jiyeon Han Hwanil Choi Yunjey Choi Jae Hyun Kim Jung-Woo Ha Jaesik Choi EGVM 23 31 0 17 Jun 2022
MoDi: Unconditional Motion Synthesis from Diverse Data Sigal Raab Inbal Leibovitch Peizhuo Li Kfir Aberman O. Sorkine-Hornung Daniel Cohen-Or DiffM 31 54 0 16 Jun 2022
On the Identifiability of Nonlinear ICA: Sparsity and Beyond Yujia Zheng Ignavier Ng Kun Zhang CML 28 59 0 15 Jun 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si Zeyi Chen Subham S. Sahoo Yair Schiff Volodymyr Kuleshov 32 7 0 14 Jun 2022
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks Shanghua Gao Zhong-Yu Li Qi Han Ming-Ming Cheng Liang Wang 44 35 0 14 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 37 28 0 13 Jun 2022
Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs Nutan Chen Patrick van der Smagt Botond Cseke CLL 21 2 0 13 Jun 2022
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks Xiong Peng Feng Liu Jingfeng Zhang Long Lan Junjie Ye Tongliang Liu Bo Han 22 34 0 11 Jun 2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Vinayak Gupta Srikanta J. Bedathur AI4TS 35 16 0 10 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 23 46 0 10 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 40 15 0 10 Jun 2022
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression Patryk Wielopolski Maciej Ziȩba UQCV 32 1 0 08 Jun 2022
Patch-based Object-centric Transformers for Efficient Video Generation Wilson Yan Ryogo Okumura Stephen James Pieter Abbeel DiffM ViT 33 6 0 08 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation Mingtian Zhang Andi Zhang Tim Z. Xiao Yitong Sun Jingyu Sun OODD 16 4 0 08 Jun 2022
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization Valero Laparra Alexander Hepburn J. E. Johnson Jesús Malo 32 3 0 08 Jun 2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection Cosmin I. Bercea Daniel Rueckert Julia A. Schnabel OODD 19 5 0 08 Jun 2022
Joint Manifold Learning and Density Estimation Using Normalizing Flows S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour DRL 31 0 0 07 Jun 2022
FlexLip: A Controllable Text-to-Lip System Dan Oneaţă Beáta Lőrincz Adriana Stan H. Cucu 31 3 0 07 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 42 5 0 06 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 36 4 0 05 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints Hae Jin Song Wael AbdAlmageed OOD 40 0 0 04 Jun 2022
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks M. Reh M. Gärttner 27 8 0 04 Jun 2022
Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha Ali Maleky M. S. Brown Marcus A. Brubaker 29 27 0 02 Jun 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 37 0 0 01 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder Jie Shi Chenfei Wu Jian Liang Xiang Liu Nan Duan DiffM 22 25 0 01 Jun 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 34 3 0 30 May 2022
Batch Normalization Is Blind to the First and Second Derivatives of the Loss Zhanpeng Zhou Wen Shen Huixin Chen Ling Tang Quanshi Zhang 39 2 0 30 May 2022
Benchmarking Unsupervised Anomaly Detection and Localization Ye Zheng Xiang Wang Yu-Hang Qi Wei Li Liwei Wu 25 14 0 30 May 2022
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models Beomsu Kim Jong Chul Ye 16 1 0 30 May 2022
A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare Yuxuan Li Ying-Jia Lin Chenang Liu 25 0 0 29 May 2022
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference R. Grumitt B. Dai U. Seljak BDL 36 13 0 27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 14 0 0 24 May 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 29 25 0 24 May 2022
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 37 25 0 24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 61 19 0 23 May 2022
Principled Knowledge Extrapolation with GANs Ruili Feng Jie Xiao Kecheng Zheng Deli Zhao Jingren Zhou Qibin Sun Zhengjun Zha 62 8 0 21 May 2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models Victor Boutin Lakshya Singhal Xavier Thomas Thomas Serre 33 7 0 20 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 23 2 0 19 May 2022
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 26 11 0 16 May 2022
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models Bo Li Kaitao Xue Bin Liu Yunyu Lai DiffM 146 136 0 16 May 2022
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech Rongjie Huang Yi Ren Jinglin Liu Chenye Cui Zhou Zhao OODD VLM 119 34 0 15 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 35 50 0 13 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials Chuqiao Li Zhiwu Huang D. Paudel Yabin Wang Mohamad Shahbazi Xiaopeng Hong Luc Van Gool 30 48 0 11 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 21 2 0 11 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 40 29 0 10 May 2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality Xu Tan Jiawei Chen Haohe Liu Jian Cong Chen Zhang ... Lei He Frank Soong Tao Qin Sheng Zhao Tie-Yan Liu 57 213 0 09 May 2022
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy Weichen Fan Yuanbo Yang Kunpeng Qiu Shuo Wang Yongxin Guo 41 3 0 05 May 2022