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
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications Peter Tu Zhaoyuan Yang Richard I. Hartley Zhiwei Xu Jing Zhang Yiwei Fu Dylan Campbell Jaskirat Singh Tianyu Wang DiffM 30 2 0 06 Jul 2023
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging Mingchuan Tian Wilson Weixun Lu K. Foong E. Loh MedIm 21 2 0 05 Jul 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 26 141 0 04 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Zechao Li Zhihua Zhang DiffM 30 8 0 04 Jul 2023
Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion Nishant Kumar L. Krause T. Wondrak S. Eckert Kerstin Eckert Stefan Gumhold 35 2 0 04 Jul 2023
RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations Neha Sahipjohn Neil Shah Vishal Tambrahalli Vineet Gandhi 27 2 0 03 Jul 2023
StyleStegan: Leak-free Style Transfer Based on Feature Steganography Xiujian Liang Bingshan Liu Qichao Ying Zhenxing Qian Xinpeng Zhang 22 0 0 01 Jul 2023
Koopman operator learning using invertible neural networks Yuhuang Meng Jian-Kai Huang Yue Qiu 13 12 0 30 Jun 2023
Equivariant flow matching Leon Klein Andreas Krämer Frank Noé 25 64 0 26 Jun 2023
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection Yueming Lyu Yue Jiang Ziwen He Bo Peng Yunfan Liu Jing Dong PICV AAML 33 9 0 26 Jun 2023
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale Matt Le Apoorv Vyas Bowen Shi Brian Karrer Leda Sari ... Mary Williamson Vimal Manohar Yossi Adi Jay Mahadeokar Wei-Ning Hsu AuLLM 30 270 0 23 Jun 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu Dong Wang Hanyu Mao Ying Li DiffM 28 38 0 21 Jun 2023
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising Li Pang Weizhen Gu Xiangyong Cao Xiangyu Rui Jiangjun Peng Shuang Xu Gang Yang Deyu Meng 17 0 0 20 Jun 2023
eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer Ammar Abbas S. Karlapati Bastian Schnell Penny Karanasou M. G. Moya Amith Nagaraj Ayman Boustati Nicole Peinelt Alexis Moinet Thomas Drugman 43 3 0 20 Jun 2023
RetinexFlow for CT metal artifact reduction Jiandong Su Ce Wang Yinsheng Li Kun Shang Dong Liang MedIm 24 0 0 18 Jun 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark Nikita Gushchin Alexander Kolesov Petr Mokrov Polina Karpikova A. Spiridonov Evgeny Burnaev Alexander Korotin OT DiffM 62 15 0 16 Jun 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 46 28 0 16 Jun 2023
PaReprop: Fast Parallelized Reversible Backpropagation Tyler Lixuan Zhu K. Mangalam 19 1 0 15 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 31 1 0 15 Jun 2023
Taming Reversible Halftoning via Predictive Luminance Cheuk-Kit Lau Menghan Xia T. Wong 38 1 0 14 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sheng-Yen Chou Pin-Yu Chen Tsung-Yi Ho DiffM 15 53 0 12 Jun 2023
Precise and Generalized Robustness Certification for Neural Networks Yuanyuan Yuan Shuai Wang Z. Su AAML 51 2 0 11 Jun 2023
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows Josué Page Vizcaíno Panagiotis Symvoulidis Zeguan Wang Jonas Jelten Paolo Favaro Ed Boyden Tobias Lasser 27 2 0 10 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 30 8 0 10 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 43 41 0 08 Jun 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 32 17 0 07 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 38 3 0 07 Jun 2023
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows Etrit Haxholli Marco Lorenzi 22 0 0 05 Jun 2023
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming Xinlei Niu Christian J. Walder J. Zhang Charles Patrick Martin BDL 16 0 0 05 Jun 2023
GANs Settle Scores! Siddarth Asokan Nishanth Shetty Aadithya Srikanth C. Seelamantula 48 0 0 02 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging Jeffrey Wen Rizwan Ahmad Philip Schniter MedIm 51 8 0 02 Jun 2023
Inserting Anybody in Diffusion Models via Celeb Basis Genlan Yuan Xiaodong Cun Yong Zhang Maomao Li Chenyang Qi Xintao Wang Ying Shan Huicheng Zheng DiffM 25 52 0 01 Jun 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 40 10 0 30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 33 3 0 30 May 2023
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration Haitao Lin Yufei Huang Haotian Zhang Lirong Wu Siyuan Li Zhiyuan Chen Stan Z. Li DiffM 29 23 0 30 May 2023
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection Daegyu Kim Chaehun Shin Jooyoung Choi Dahuin Jung Sung-Hoon Yoon DiffM 30 10 0 30 May 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification Yifei Liu Rex Shen Xiaotong Shen DiffM 34 1 0 30 May 2023
BRICS: Bi-level feature Representation of Image CollectionS Dingdong Yang Yizhi Wang Ali Mahdavi-Amiri Hao Zhang DiffM 26 0 0 29 May 2023
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation Jia-Bin Huang Yi Ren Rongjie Huang Dongchao Yang Zhenhui Ye Chen Zhang Jinglin Liu Xiang Yin Zejun Ma Zhou Zhao DiffM 37 59 0 29 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Weijian Luo Tianyang Hu Shifeng Zhang Jiacheng Sun Zhenguo Li Zhihua Zhang 35 113 0 29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 50 7 0 26 May 2023
Lagrangian Flow Networks for Conservation Laws F. A. Torres M. Negri M. Inversi Jonathan Aellen Volker Roth 52 2 0 26 May 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng Jiahui Lei Bokui Shen Kostas Daniilidis Leonidas J. Guibas 3DPC 40 17 0 25 May 2023
Securing Deep Generative Models with Universal Adversarial Signature Yu Zeng Mo Zhou Yuan Xue Vishal M. Patel WIGM 18 10 0 25 May 2023
Transporting Densities Across Dimensions Michael Plainer Felix Dietrich Ioannis G. Kevrekidis OT 14 0 0 25 May 2023
Anomaly Detection with Conditioned Denoising Diffusion Models Arian Mousakhan Thomas Brox Jawad Tayyub DiffM 21 48 0 25 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution Yi Ma Huan Yang Wenhan Yang Jianlong Fu Jiaying Liu DiffM 25 7 0 24 May 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 33 3 0 24 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 46 19 0 24 May 2023
A Survey of Diffusion Models in Natural Language Processing Hao-Li Zou Zae Myung Kim Dongyeop Kang DiffM MedIm 25 12 0 24 May 2023