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
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 39 11 0 10 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 46 6 0 09 Sep 2023
DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection Manlin Zhang Jie Wu Yuxi Ren Ming Li Jie Qin Xuefeng Xiao Wei Liu Rui Wang Min Zheng Andy J. Ma DiffM 36 20 0 07 Sep 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 34 16 0 07 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 39 1 0 05 Sep 2023
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement Wen Wang Dongchao Yang Qichen Ye Bowen Cao Yuexian Zou DiffM 40 3 0 03 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 37 27 0 03 Sep 2023
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 31 11 0 03 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains Xuantong Liu Yaoqin Xie Songhui Diao Shan Tan Xiaokun Liang DiffM MedIm 40 17 0 31 Aug 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection Yixuan Zhou Xing Xu Jingkuan Song Fumin Shen Hengtao Shen AI4CE 33 19 0 29 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 78 31 0 27 Aug 2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang OOD 15 0 0 26 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 53 0 0 26 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry David Meger UD 30 2 0 25 Aug 2023
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models Xiyue Zhu Vlas Zyrianov Zhijian Liu Shenlong Wang 35 11 0 24 Aug 2023
WavMark: Watermarking for Audio Generation Guang Chen Yu-Huan Wu Shujie Liu Tao Liu Xiaoyong Du Furu Wei 25 33 0 24 Aug 2023
High-quality Image Dehazing with Diffusion Model Huikang Yu Jie Huang Kai Zheng Fengmei Zhao DiffM 27 12 0 23 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows G. Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 25 13 0 22 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection Masoud Taghikhah Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 35 3 0 20 Aug 2023
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks Bangti Jin Zehui Zhou Jun Zou 31 3 0 18 Aug 2023
Edit Temporal-Consistent Videos with Image Diffusion Model Yuan-Zheng Wang Yong Li Xiaoya Zhang Xin Liu Anbo Dai Antoni B. Chan Zhen Cui DiffM 41 6 0 17 Aug 2023
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction Takahiro Maeda Norimichi Ukita 29 28 0 17 Aug 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang Lei Zhao Wei Xing DiffM 37 124 0 15 Aug 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 37 1 0 14 Aug 2023
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN Takuhiro Kaneko Hirokazu Kameoka Kou Tanaka Shogo Seki 38 4 0 14 Aug 2023
Hierarchy Flow For High-Fidelity Image-to-Image Translation Weichen Fan Jinghuan Chen Ziwei Liu 35 0 0 14 Aug 2023
Learning Distributions via Monte-Carlo Marginalization Chenqiu Zhao Guanfang Dong Anup Basu DRL 35 4 0 11 Aug 2023
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data Jingyi Shen Hang Shen 31 5 0 08 Aug 2023
Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement Chenxi Wang Zhi Jin VOS 30 12 0 06 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 34 6 0 04 Aug 2023
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling Zhaohui Yang Fuchun Sun Ji-Rong Wen DiffM 44 14 0 03 Aug 2023
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models Jianxin Lin Peng Xiao Yijun Wang Rongsheng Zhang Xiangxiang Zeng DiffM 38 3 0 03 Aug 2023
Patched Denoising Diffusion Models For High-Resolution Image Synthesis Zheng Ding Mengqi Zhang Jiajun Wu Zhuowen Tu DiffM 33 33 0 02 Aug 2023
Simulation-based inference using surjective sequential neural likelihood estimation Simon Dirmeier Carlo Albert Fernando Perez-Cruz 36 6 0 02 Aug 2023
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond Zengxi Zhang Zhiying Jiang Jinyuan Liu Xin-Yue Fan Risheng Liu 34 10 0 02 Aug 2023
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech Guangyan Zhang Thomas Merritt M. Ribeiro Biel Tura Vecino K. Yanagisawa ... Ammar Abbas Piotr Bilinski Roberto Barra-Chicote Daniel Korzekwa Jaime Lorenzo-Trueba DiffM 39 3 0 31 Jul 2023
DRAW: Defending Camera-shooted RAW against Image Manipulation Xiaoxiao Hu Qichao Ying Zhenxing Qian Sheng Li Xinpeng Zhang AAML 44 7 0 31 Jul 2023
InvVis: Large-Scale Data Embedding for Invertible Visualization Huayuan Ye Chenhui Li Yang Li Changbo Wang 22 4 0 30 Jul 2023
Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders Samuel E. Otto G. Macchio C. Rowley AI4CE 24 20 0 28 Jul 2023
Kernelised Normalising Flows Eshant English Matthias Kirchler C. Lippert TPM 47 0 0 27 Jul 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 32 0 0 19 Jul 2023
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow Lin Yuan Kai Liang Xiao Pu Yan Zhang Jiaxu Leng Tao Wu Nannan Wang Xinbo Gao PICV 26 1 0 18 Jul 2023
CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication Jingyao Wang Luntian Mou Changwen Zheng Wen Gao AAML 38 4 0 18 Jul 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement Hui Yuan Kaixuan Huang Chengzhuo Ni Minshuo Chen Mengdi Wang DiffM 30 35 0 13 Jul 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows Vinayak Gupta Srikanta J. Bedathur AI4TS 35 1 0 13 Jul 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 37 4 0 12 Jul 2023
PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation Jian Zhang Runwei Ding Miaoju Ban Linhui Dai 31 13 0 11 Jul 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 28 0 0 10 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 37 24 0 10 Jul 2023