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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DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations Keju Tang Xiaoliang Wan Chao Yang 32 109 0 28 Dec 2021
Solving time dependent Fokker-Planck equations via temporal normalizing flow Xiaodong Feng Li Zeng Tao Zhou AI4CE 41 25 0 28 Dec 2021
Augmenting Convolutional networks with attention-based aggregation Hugo Touvron Matthieu Cord Alaaeldin El-Nouby Piotr Bojanowski Armand Joulin Gabriel Synnaeve Hervé Jégou ViT 40 47 0 27 Dec 2021
A Compact Neural Network-based Algorithm for Robust Image Watermarking Hongcai Xu Rong Wang Jia Wei Shao-Ping Lu 45 13 0 27 Dec 2021
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors Vincent van de Schaft Ruud J. G. van Sloun OOD MedIm 26 6 0 24 Dec 2021
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data Matej Grcić Petra Bevandić Zoran Kalafatić Sinivsa vSegvić 43 10 0 23 Dec 2021
StyleSwin: Transformer-based GAN for High-resolution Image Generation Bo Zhang Shuyang Gu Bo Zhang Jianmin Bao Dong Chen Fang Wen Yong Wang B. Guo ViT 45 223 0 20 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 157 14,962 0 20 Dec 2021
Inverse deep learning methods and benchmarks for artificial electromagnetic material design Simiao Ren Ashwin Mahendra Omar Khatib Yang Deng Willie J. Padilla Jordan M. Malof BDL 11 27 0 19 Dec 2021
Rethinking Importance Weighting for Transfer Learning Nan Lu Tianyi Zhang Tongtong Fang Takeshi Teshima Masashi Sugiyama 49 11 0 19 Dec 2021
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey Svyatoslav Voloshynovskiy T. Golling TPM 43 4 0 15 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 50 543 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 50 231 0 14 Dec 2021
ELF: Exact-Lipschitz Based Universal Density Approximator Flow Achintya Gopal 35 1 0 13 Dec 2021
Hallucinating Pose-Compatible Scenes Tim Brooks Alexei A. Efros 3DH 57 14 0 13 Dec 2021
Generate Point Clouds with Multiscale Details from Graph-Represented Structures Ximing Yang Zhibo Zhang Zhengfu He Cheng Jin 3DPC 28 1 0 13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin Soheil Feizi Ramalingam Chellappa AAML 34 12 0 12 Dec 2021
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading Leyuan Qu C. Weber S. Wermter 43 23 0 09 Dec 2021
Autoregressive Quantile Flows for Predictive Uncertainty Estimation Phillip Si Allan Bishop Volodymyr Kuleshov BDL UQCV AI4TS 30 20 0 09 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 49 2 0 07 Dec 2021
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning Manlin Zhang Jinpeng Wang A. J. Ma 46 9 0 07 Dec 2021
RID-Noise: Towards Robust Inverse Design under Noisy Environments Jia-Qi Yang Ke-Bin Fan Hao Ma De-Chuan Zhan 38 4 0 07 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 140 81 0 06 Dec 2021
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 85 56 0 04 Dec 2021
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing Yuanyuan Yuan Qi Pang Shuai Wang DiffM AAML MedIm 39 6 0 03 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 23 42 0 03 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 21 19 0 01 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 21 3 0 01 Dec 2021
The Exponentially Tilted Gaussian Prior for Variational Autoencoders Griffin Floto Stefan Kremer Mihai Nica DRL 21 1 0 30 Nov 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 43 19 0 26 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 32 6 0 26 Nov 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 42 3 0 25 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 35 71 0 24 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 32 24 0 24 Nov 2021
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance Heeseung Kim Sungwon Kim Sungroh Yoon DiffM BDL 24 107 0 23 Nov 2021
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 30 5 0 22 Nov 2021
Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception Kristen Moore Cody James Christopher David Liebowitz Surya Nepal R. Selvey 49 4 0 21 Nov 2021
LOLNeRF: Learn from One Look Daniel Rebain Mark J. Matthews K. M. Yi Dmitry Lagun Andrea Tagliasacchi 3DV 42 112 0 19 Nov 2021
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 14 35 0 17 Nov 2021
Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples Nir Diamant Nitsan Sandor A. Bronstein GAN 41 0 0 16 Nov 2021
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 22 307 0 15 Nov 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 29 12 0 15 Nov 2021
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts Kota Dohi Takashi Endo Yohei Kawaguchi 35 8 0 12 Nov 2021
FINO: Flow-based Joint Image and Noise Model Lanqing Guo Siyu Huang Haosen Liu Bihan Wen 36 5 0 11 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 399 1,607 0 10 Nov 2021
Approaching the Limit of Image Rescaling via Flow Guidance Shangzhou Li Guixuan Zhang Zhengxiong Luo Jie Liu Zhi Zeng Shuwu Zhang 44 9 0 09 Nov 2021
Bayesian Framework for Gradient Leakage Mislav Balunović Dimitar I. Dimitrov Robin Staab Martin Vechev FedML 32 41 0 08 Nov 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution Andreas Lugmayr Martin Danelljan Feng Yu Luc Van Gool Radu Timofte 27 14 0 05 Nov 2021
Variational Inference with Holder Bounds Junya Chen Danni Lu Zidi Xiu Ke Bai Lawrence Carin Chenyang Tao 21 6 0 04 Nov 2021
WaveFake: A Data Set to Facilitate Audio Deepfake Detection Joel Frank Lea Schonherr DiffM 140 125 0 04 Nov 2021