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
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation D. Torbunov Yi Huang Haiwang Yu Jin-zhi Huang Shinjae Yoo Meifeng Lin B. Viren Yihui Ren ViT 45 80 0 04 Mar 2022
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform Takuhiro Kaneko Kou Tanaka Hirokazu Kameoka Shogo Seki 33 60 0 04 Mar 2022
Semi-parametric Makeup Transfer via Semantic-aware Correspondence Mingrui Zhu Yun Yi N. Wang Xiaoyu Wang Xinbo Gao 38 6 0 04 Mar 2022
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows Kevin J. Shih Rafael Valle Rohan Badlani J. F. Santos Bryan Catanzaro 36 4 0 03 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 35 19 0 02 Mar 2022
Point Set Self-Embedding Ruihui Li Xianzhi Li T. Wong Chi-Wing Fu 3DPC 33 3 0 28 Feb 2022
Revisiting Over-Smoothness in Text to Speech Yi Ren Xu Tan Tao Qin Zhou Zhao Tie-Yan Liu 87 61 0 26 Feb 2022
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network Atharva Karwande Pranesh Shridhar Kulkarni Tejas Kolhe Akshay Joshi S. Kamble GAN 22 2 0 24 Feb 2022
Efficient CDF Approximations for Normalizing Flows Chandramouli Shama Sastry Andreas M. Lehrmann Marcus A. Brubaker A. Radovic 22 1 0 23 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective Nianzu Yang Huaijin Wu Xiaoyong Pan Ye Yuan Junchi Yan 39 15 0 18 Feb 2022
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai Jie Chen BDL AI4TS 16 70 0 16 Feb 2022
Principal Manifold Flows Edmond Cunningham Adam D. Cobb Susmit Jha DRL 32 7 0 14 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 29 118 0 14 Feb 2022
Multi-level Latent Space Structuring for Generative Control Oren Katzir Vicky Perepelook Dani Lischinski Daniel Cohen-Or 30 4 0 11 Feb 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 65 4 0 11 Feb 2022
Bernstein Flows for Flexible Posteriors in Variational Bayes Oliver Durr Stephan Hörling Daniel Dold Ivonne Kovylov Beate Sick BDL 26 4 0 11 Feb 2022
Target-aware Molecular Graph Generation Cheng Tan Zhangyang Gao Stan Z. Li 27 25 0 10 Feb 2022
Imitation Learning by State-Only Distribution Matching Damian Boborzi C. Straehle Jens S. Buchner Lars Mikelsons OOD OffRL 15 4 0 09 Feb 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training Zehua Chen Xu Tan Ke Wang Shifeng Pan Danilo Mandic Lei He Sheng Zhao DiffM 33 28 0 08 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 51 104 0 07 Feb 2022
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Yuxiao Chen 29 3 0 07 Feb 2022
Enhancing variational generation through self-decomposition Andrea Asperti Laura Bugo Daniele Filippini DRL 56 2 0 06 Feb 2022
KSD Aggregated Goodness-of-fit Test Antonin Schrab Benjamin Guedj Arthur Gretton 52 17 0 02 Feb 2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation Emma R. Cobian J. Hauenstein Fang Liu Daniele E. Schiavazzi 26 4 0 01 Feb 2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality Katie Z Luo Guandao Yang Wenqi Xian Harald Haraldsson B. Hariharan Serge Belongie DiffM 36 5 0 01 Feb 2022
Black-box Bayesian inference for economic agent-based models Joel Dyer Patrick W Cannon J. Farmer Sebastian M. Schmon 31 24 0 01 Feb 2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification Takashi Ishida Ikko Yamane Nontawat Charoenphakdee Gang Niu Masashi Sugiyama BDL UQCV 56 14 0 01 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 196 499 0 01 Feb 2022
On the Robustness of Quality Measures for GANs Motasem Alfarra Juan C. Pérez Anna Frühstück Philip Torr Peter Wonka Guohao Li AAML EGVM 104 10 0 31 Jan 2022
Scale-arbitrary Invertible Image Downscaling Jinbo Xing Wenbo Hu T. Wong 65 12 0 29 Jan 2022
FastFlows: Flow-Based Models for Molecular Graph Generation Nathan C. Frey V. Gadepally Bharath Ramsundar 36 12 0 28 Jan 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Antonio De Almeida Correia Antonia Adler Kristian Kersting MIACV 63 62 0 28 Jan 2022
Variational Model Inversion Attacks Kuan-Chieh Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 30 95 0 26 Jan 2022
Invertible Voice Conversion Zexin Cai Ming Li BDL 42 1 0 26 Jan 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu MedIm 33 4 0 25 Jan 2022
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN Yangqiu Song Qiulin Wang Jiquan Pei Yu Yang Xiangyang Ji CVBM 37 3 0 24 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 34 15 0 20 Jan 2022
Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep Learning Cailian Yang Xianghao Liao Yuhao Wang Minghui Zhang Qiegen Liu 293 0 0 19 Jan 2022
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks Yanzhen Ren Ting Liu Liming Zhai Lina Wang 11 7 0 19 Jan 2022
Variable Augmented Network for Invertible MR Coil Compression Xianghao Liao Shanshan Wang Lan Tu Yuhao Wang Dong Liang Qiegen Liu 25 25 0 19 Jan 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 59 339 0 17 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 52 5 0 14 Jan 2022
Anomalous Sound Detection using Spectral-Temporal Information Fusion Youde Liu Jian Guan Qiaoxi Zhu Wenwu Wang 28 54 0 14 Jan 2022
Model-Based Image Signal Processors via Learnable Dictionaries Marcos V. Conde Jingyu Sun Matteo Maggioni Alevs Leonardis Eduardo Pérez-Pellitero DiffM 30 45 0 10 Jan 2022
Improved Input Reprogramming for GAN Conditioning Tuan Dinh Daewon Seo Zhixu Du Liang Shang Kangwook Lee AI4CE 27 8 0 07 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 24 15 0 07 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 38 115 0 02 Jan 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates N. J. Irons M. Scetbon Soumik Pal Zaïd Harchaoui 33 18 0 31 Dec 2021
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 41 7 0 29 Dec 2021
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