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
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models Tristan Aumentado-Armstrong Stavros Tsogkas Sven J. Dickinson Allan D. Jepson OCL DRL 28 6 0 27 Feb 2021
Abelian Neural Networks Kenshi Abe Takanori Maehara Issei Sato 16 2 0 24 Feb 2021
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement Xuanchi Ren Tao Yang Yuwang Wang Wenjun Zeng CoGe DRL 33 7 0 21 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 38 37 0 21 Feb 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 29 50 0 20 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 60 3,549 0 18 Feb 2021
AudioVisual Speech Synthesis: A brief literature review Efthymios Georgiou Athanasios Katsamanis 21 0 0 18 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 37 72 0 16 Feb 2021
Jacobian Determinant of Normalizing Flows Huadong Liao Jiawei He DRL 19 7 0 12 Feb 2021
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Yufeng Zhang Wanwei Liu Zhenbang Chen Ji Wang KenLi Li 43 23 0 10 Feb 2021
MALI: A memory efficient and reverse accurate integrator for Neural ODEs Juntang Zhuang Nicha Dvornek S. Tatikonda James S. Duncan 32 49 0 09 Feb 2021
HGAN: Hybrid Generative Adversarial Network Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN 19 4 0 07 Feb 2021
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review Jie Yuan Xuming Ran Keyin Liu Chen Yao Yi Yao Haiyan Wu Quanying Liu OOD 32 48 0 05 Feb 2021
Invertible DenseNets with Concatenated LipSwish Yura Perugachi-Diaz Jakub M. Tomczak Sandjai Bhulai 23 20 0 04 Feb 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation Maksim Kuznetsov Daniil Polykovskiy 38 40 0 03 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 24 85 0 31 Jan 2021
Quantifying Visual Image Quality: A Bayesian View Zhengfang Duanmu Wentao Liu Zhongling Wang Zhou Wang 13 35 0 30 Jan 2021
Learning Non-linear Wavelet Transformation via Normalizing Flow Shuo-Hui Li 16 3 0 27 Jan 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 29 175 0 25 Jan 2021
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation Ye Liu Yao Wan Jianguo Zhang Wenting Zhao Philip S. Yu 25 23 0 22 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 34 120 0 21 Jan 2021
Regularization via deep generative models: an analysis point of view Thomas Oberlin Mathieu Verm GAN 27 8 0 21 Jan 2021
Learning based signal detection for MIMO systems with unknown noise statistics Ke He Le He Lisheng Fan Yansha Deng G. Karagiannidis A. Nallanathan 26 56 0 21 Jan 2021
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows Valentin Wolf Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte 32 41 0 14 Jan 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 91 507 0 14 Jan 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 80 32 0 11 Jan 2021
StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations Amir Zadeh Santiago Benoit Louis-Philippe Morency 11 1 0 03 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 53 57 0 31 Dec 2020
Variational Determinant Estimation with Spherical Normalizing Flows Simon Passenheim Emiel Hoogeboom BDL 31 1 0 24 Dec 2020
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder Tal Daniel Aviv Tamar DRL 43 42 0 24 Dec 2020
Exploring Adversarial Examples via Invertible Neural Networks Ruqi Bai S. Bagchi David I. Inouye AAML 30 2 0 24 Dec 2020
Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang Bo Dai Wayne Wu Chen Change Loy 57 267 0 23 Dec 2020
Evolutionary Variational Optimization of Generative Models Jakob Drefs E. Guiraud Jörg Lücke BDL DRL 24 7 0 22 Dec 2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 31 9 0 18 Dec 2020
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 64 2,837 0 17 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 16 124 0 15 Dec 2020
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 43 9 0 11 Dec 2020
Comparison of Anomaly Detectors: Context Matters V. Škvára Jan Francå Matěj Zorek Tomás Pevný Václav Smídl 21 9 0 11 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 28 2 0 11 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 96 0 10 Dec 2020
Full-Glow: Fully conditional Glow for more realistic image generation Moein Sorkhei G. Henter Hedvig Kjellström 33 6 0 10 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 23 39 0 08 Dec 2020
Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery T. Langer N. Fedorova R. Hagensieker 22 3 0 08 Dec 2020
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization Han Huang Mi-Yen Yeh 24 8 0 08 Dec 2020
Learning Portrait Style Representations Sadat Shaik Bernadette Bucher Nephele Agrafiotis Stephen Phillips Kostas Daniilidis W. Schmenner 16 2 0 08 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 35 49 0 07 Dec 2020
PFA-GAN: Progressive Face Aging with Generative Adversarial Network Zhizhong Huang Shouzhen Chen Junping Zhang Hongming Shan CVBM GAN 33 49 0 07 Dec 2020
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs Fangda Han Guoyao Hao Ricardo Guerrero Vladimir Pavlovic GAN 20 8 0 04 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 31 8 0 04 Dec 2020
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation T. Bui Manh Nguyen Ngan Le Khoa Luu MedIm 24 14 0 03 Dec 2020