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 Denoising Network: A Light Solution for Real Noise Removal Yang Liu Zhenyue Qin Saeed Anwar Pan Ji Dongwoo Kim Sabrina Caldwell Tom Gedeon 83 143 0 21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 245 487 0 20 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 26 24 0 20 Apr 2021
Image Modeling with Deep Convolutional Gaussian Mixture Models A. Gepperth Benedikt Pfülb BDL VLM 36 7 0 19 Apr 2021
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising Taesung Kwon Jong Chul Ye MedIm 22 29 0 17 Apr 2021
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning Kexin Wang Nils Reimers Iryna Gurevych 16 177 0 14 Apr 2021
Simpler Certified Radius Maximization by Propagating Covariances Xingjian Zhen Rudrasis Chakraborty Vikas Singh AAML 25 5 0 13 Apr 2021
Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition Chuanxia Zheng Duy-Son Dao Guoxian Song Tat-Jen Cham Jianfei Cai 27 20 0 12 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 23 161 0 12 Apr 2021
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 43 55 0 09 Apr 2021
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics Mohsen Zand Ali Etemad Michael A. Greenspan AI4CE 20 5 0 09 Apr 2021
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols Hisaichi Shibata S. Hanaoka Y. Nomura Takahiro Nakao T. Takenaga Naoto Hayashi O. Abe MedIm 32 1 0 09 Apr 2021
CoCoNets: Continuous Contrastive 3D Scene Representations Shamit Lal Mihir Prabhudesai Ishita Mediratta Adam W. Harley Katerina Fragkiadaki SSL 3DH 3DPC 41 25 0 08 Apr 2021
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction Wenjie Yin Hang Yin Danica Kragic Mårten Björkman 3DH 15 15 0 07 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 32 44 0 06 Apr 2021
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer Thao-Ngoc Nguyen Anh Tran Minh Hoai 21 48 0 05 Apr 2021
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization Edgar A. Bernal 31 1 0 03 Apr 2021
Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation Amanpreet Singh Martin Bauer S. Joshi OT 14 1 0 02 Apr 2021
Multi-Class Data Description for Out-of-distribution Detection Dongha Lee Sehun Yu Hwanjo Yu OODD 16 34 0 02 Apr 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness A. Kulkarni Shuo Han Nandi O. Leslie Charles A. Kamhoua Jie Fu 19 2 0 01 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 27 990 0 31 Mar 2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows Jie An Siyu Huang Yibing Song Dejing Dou Wei Liu Jiebo Luo 30 191 0 31 Mar 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression Shifeng Zhang Chen Zhang Ning Kang Zhenguo Li 35 37 0 30 Mar 2021
Contrastive Embedding for Generalized Zero-Shot Learning Zongyan Han Zhenyong Fu Shuo Chen Jian Yang VLM 42 189 0 30 Mar 2021
Flow-based Kernel Prior with Application to Blind Super-Resolution Christos Sakaridis Kaixuan Zhang Shuhang Gu Luc Van Gool Radu Timofte SupR 22 127 0 29 Mar 2021
A Temporal Kernel Approach for Deep Learning with Continuous-time Information Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan SyDa AI4TS 22 4 0 28 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 25 23 0 28 Mar 2021
Invertible Image Signal Processing Yazhou Xing Zian Qian Qifeng Chen 26 112 0 28 Mar 2021
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling Yan-Cheng Huang Yi-Hsin Chen Chen Lu Hui-Po Wang Wen-Hsiao Peng Ching-Chun Huang 33 14 0 27 Mar 2021
InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion Qili Zeng Shihang Feng B. Wohlberg Youzuo Lin 41 27 0 25 Mar 2021
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation Chris Waites Rachel Cummings 19 15 0 25 Mar 2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks Frederik Hvilshoj Alexandros Iosifidis Ira Assent BDL 27 26 0 25 Mar 2021
Out-of-Distribution Detection of Melanoma using Normalizing Flows M. Valiuddin C.G.A. Viviers OODD 32 0 0 23 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 332 0 22 Mar 2021
Adaptive deep density approximation for Fokker-Planck equations Keju Tang Xiaoliang Wan Qifeng Liao 31 37 0 20 Mar 2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images Aadhithya Sankar Matthias Keicher R. Eisawy Abhijeet Parida Franz MJ Pfister Seong Tae Kim Nassir Navab OOD DRL MedIm 21 8 0 19 Mar 2021
Knowledge-Guided Object Discovery with Acquired Deep Impressions Jinyang Yuan Bin Li Xiangyang Xue OCL 41 6 0 19 Mar 2021
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai Jonas Wulff Phillip Isola GAN 40 75 0 18 Mar 2021
The U-Net based GLOW for Optical-Flow-free Video Interframe Generation Saem Park D. Han Nojun Kwak 11 2 0 17 Mar 2021
Implicit Normalizing Flows Cheng Lu Jianfei Chen Chongxuan Li Qiuhao Wang Jun Zhu AI4CE 12 34 0 17 Mar 2021
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning Siyang Yuan Pengyu Cheng Ruiyi Zhang Weituo Hao Zhe Gan Lawrence Carin DRL 22 60 0 17 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 26 9 0 16 Mar 2021
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection Kota Dohi Takashi Endo Harsh Purohit Ryo Tanabe Y. Kawaguchi 22 58 0 16 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 48 485 0 08 Mar 2021
Behavior-Driven Synthesis of Human Dynamics A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer 36 14 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 33 201 0 05 Mar 2021
FloMo: Tractable Motion Prediction with Normalizing Flows Christoph Schöller Alois C. Knoll 22 22 0 05 Mar 2021
Goal-Oriented Gaze Estimation for Zero-Shot Learning Yang Liu Lei Zhou Xiao Bai Yifei Huang Lin Gu Jun Zhou Tatsuya Harada 30 118 0 05 Mar 2021
Memory-Efficient Network for Large-scale Video Compressive Sensing Ziheng Cheng Bo Chen Guanliang Liu Hao Zhang Ruiying Lu Zhengjue Wang Xin Yuan 28 62 0 04 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing Guo Lei Ma Yang Liu AAML 35 132 0 27 Feb 2021