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Glow: Generative Flow with Invertible 1x1 Convolutions

Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018
Diederik P. Kingma
Prafulla Dhariwal
    BDL
    DRL
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Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

50 / 1,799 papers shown
Title
Importance Weighted Hierarchical Variational Inference
Importance Weighted Hierarchical Variational Inference
Artem Sobolev
Dmitry Vetrov
BDL
13
26
0
08 May 2019
Generative Model with Dynamic Linear Flow
Generative Model with Dynamic Linear Flow
Huadong Liao
Jiawei He
Kun-xian Shu
DRL
19
4
0
08 May 2019
Sum-of-Squares Polynomial Flow
Sum-of-Squares Polynomial Flow
P. Jaini
Kira A. Selby
Yaoliang Yu
TPM
22
142
0
07 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko
Tatsuya Harada
30
3
0
06 May 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Campagnolo Guizilini
Rares Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL
3DPC
MDE
16
639
0
06 May 2019
FaceShapeGene: A Disentangled Shape Representation for Flexible Face
  Image Editing
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
Sen-Zhe Xu
Haozhi Huang
Shimin Hu
Wei Liu
CVBM
14
5
0
06 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
20
371
0
03 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Andrei Atanov
Alexandra Volokhova
Arsenii Ashukha
Ivan Sosnovik
Dmitry Vetrov
BDL
29
41
0
01 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
16
42
0
01 May 2019
Exponential Family Estimation via Adversarial Dynamics Embedding
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai
Zichen Liu
H. Dai
Niao He
Arthur Gretton
Le Song
Dale Schuurmans
18
52
0
27 Apr 2019
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Kai Wang
CVBM
20
130
0
26 Apr 2019
Low-Memory Neural Network Training: A Technical Report
Low-Memory Neural Network Training: A Technical Report
N. Sohoni
Christopher R. Aberger
Megan Leszczynski
Jian Zhang
Christopher Ré
25
99
0
24 Apr 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
31
1,854
0
23 Apr 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
29
209
0
22 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
48
828
0
15 Apr 2019
Generative Hybrid Representations for Activity Forecasting with
  No-Regret Learning
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
Jiaqi Guan
Ye Yuan
Kris Kitani
Nicholas Rhinehart
AI4TS
10
31
0
12 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of
  Generative Autoencoders
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka
Arno Solin
Arno Solin
DRL
CVBM
35
15
0
12 Apr 2019
Supervised Anomaly Detection based on Deep Autoregressive Density
  Estimators
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators
Tomoharu Iwata
Yuki Yamanaka
31
11
0
12 Apr 2019
Autoregressive Energy Machines
Autoregressive Energy Machines
C. Nash
Conor Durkan
28
55
0
11 Apr 2019
Energy-Based Continuous Inverse Optimal Control
Energy-Based Continuous Inverse Optimal Control
Yifei Xu
Jianwen Xie
Tianyang Zhao
Chris L. Baker
Yibiao Zhao
Ying Nian Wu
23
19
0
10 Apr 2019
Block Neural Autoregressive Flow
Block Neural Autoregressive Flow
Nicola De Cao
Ivan Titov
Wilker Aziz
DRL
9
121
0
09 Apr 2019
Feature-Based Interpolation and Geodesics in the Latent Spaces of
  Generative Models
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models
Lukasz Struski
M. Sadowski
Tomasz Danel
Jacek Tabor
Igor T. Podolak
DiffM
28
7
0
06 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
13
156
0
05 Apr 2019
A Learned Representation for Scalable Vector Graphics
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo-Lopes
David R Ha
Douglas Eck
Jonathon Shlens
GAN
OCL
33
113
0
04 Apr 2019
Density Matching for Bilingual Word Embedding
Density Matching for Bilingual Word Embedding
Chunting Zhou
Xuezhe Ma
Di Wang
Graham Neubig
24
39
0
04 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis
Conditional Adversarial Generative Flow for Controllable Image Synthesis
R. Liu
Yu Liu
Xinyu Gong
Xiaogang Wang
Hongsheng Li
27
45
0
03 Apr 2019
Augmented Neural ODEs
Augmented Neural ODEs
Emilien Dupont
Arnaud Doucet
Yee Whye Teh
BDL
19
617
0
02 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
14
238
0
27 Mar 2019
Implicit Generation and Generalization in Energy-Based Models
Implicit Generation and Generalization in Energy-Based Models
Yilun Du
Igor Mordatch
BDL
DiffM
19
40
0
20 Mar 2019
A RAD approach to deep mixture models
A RAD approach to deep mixture models
Laurent Dinh
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Razvan Pascanu
22
45
0
18 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
Animesh Karnewar
Oliver Wang
GAN
16
50
0
14 Mar 2019
Embarrassingly parallel MCMC using deep invertible transformations
Embarrassingly parallel MCMC using deep invertible transformations
Diego Mesquita
P. Blomstedt
Samuel Kaski
9
18
0
11 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
30
37
0
06 Mar 2019
DepthwiseGANs: Fast Training Generative Adversarial Networks for
  Realistic Image Synthesis
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis
Mkhuseli Ngxande
J. Tapamo
Michael G. Burke
GAN
14
8
0
06 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
Manoj Kumar
Mohammad Babaeizadeh
D. Erhan
Chelsea Finn
Sergey Levine
Laurent Dinh
Durk Kingma
VGen
25
131
0
04 Mar 2019
Accelerating Training of Deep Neural Networks with a Standardization
  Loss
Accelerating Training of Deep Neural Networks with a Standardization Loss
Jasmine Collins
Johannes Ballé
Jonathon Shlens
21
3
0
03 Mar 2019
Video Extrapolation with an Invertible Linear Embedding
Video Extrapolation with an Invertible Linear Embedding
Robert Pottorff
Jared Nielsen
David Wingate
21
5
0
01 Mar 2019
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate
  Standard Layer of Maps from Satellite Images
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images
Swetava Ganguli
Pedro Garzon
Noa Glaser
GAN
16
54
0
14 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and
  Manipulation
Adversarially Approximated Autoencoder for Image Generation and Manipulation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
29
72
0
14 Feb 2019
MaCow: Masked Convolutional Generative Flow
MaCow: Masked Convolutional Generative Flow
Xuezhe Ma
Xiang Kong
Shanghang Zhang
Eduard H. Hovy
DRL
16
66
0
12 Feb 2019
Generating the support with extreme value losses
Generating the support with extreme value losses
N. Guttenberg
13
0
0
08 Feb 2019
Hybrid Models with Deep and Invertible Features
Hybrid Models with Deep and Invertible Features
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
BDL
DRL
20
99
0
07 Feb 2019
Reversible GANs for Memory-efficient Image-to-Image Translation
Reversible GANs for Memory-efficient Image-to-Image Translation
Tycho F. A. van der Ouderaa
Daniel E. Worrall
22
54
0
07 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe
Marco Fraccaro
Valentin Liévin
Ole Winther
BDL
DRL
24
213
0
06 Feb 2019
Exchangeable Generative Models with Flow Scans
Exchangeable Generative Models with Flow Scans
Christian Bender
Kevin O'Connor
Yang Li
J. Garcia
Manzil Zaheer
Junier Oliva
3DPC
13
4
0
05 Feb 2019
TzK: Flow-Based Conditional Generative Model
TzK: Flow-Based Conditional Generative Model
M. Livne
David Fleet
VLM
DRL
AI4CE
16
0
0
05 Feb 2019
Active Image Synthesis for Efficient Labeling
Active Image Synthesis for Efficient Labeling
Jialei Chen
Yujia Xie
Kan Wang
Chuck Zhang
M. Vannan
Ben Wang
Z. Qian
MedIm
19
11
0
05 Feb 2019
A Forest from the Trees: Generation through Neighborhoods
A Forest from the Trees: Generation through Neighborhoods
Yang Li
Tianxiang Gao
Junier B. Oliva
28
5
0
04 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational
  Dequantization and Architecture Design
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho
Xi Chen
A. Srinivas
Yan Duan
Pieter Abbeel
DRL
20
444
0
01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows
Emerging Convolutions for Generative Normalizing Flows
Emiel Hoogeboom
Rianne van den Berg
Max Welling
DRL
24
98
0
30 Jan 2019
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