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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
ArXivPDFHTML

Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

50 / 1,800 papers shown
Title
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
Tejan Karmali
Rishubh Parihar
Susmit Agrawal
Harsh Rangwani
Varun Jampani
M. Singh
R. Venkatesh Babu
40
11
0
07 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
55
372
0
05 Aug 2022
Unifying physical systems' inductive biases in neural ODE using dynamics
  constraints
Unifying physical systems' inductive biases in neural ODE using dynamics constraints
Yi Heng Lim
M. F. Kasim
PINN
AI4CE
27
5
0
03 Aug 2022
Pyramidal Denoising Diffusion Probabilistic Models
Pyramidal Denoising Diffusion Probabilistic Models
Dohoon Ryu
Jong Chul Ye
39
25
0
03 Aug 2022
Content-Aware Differential Privacy with Conditional Invertible Neural
  Networks
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Malte Tolle
Ullrich Kothe
F. André
B. Meder
Sandy Engelhardt
27
5
0
29 Jul 2022
Rewriting Geometric Rules of a GAN
Rewriting Geometric Rules of a GAN
Sheng-Yu Wang
David Bau
Jun-Yan Zhu
47
35
0
28 Jul 2022
Optimizing transformations for contrastive learning in a differentiable
  framework
Optimizing transformations for contrastive learning in a differentiable framework
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
36
2
0
27 Jul 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
22
3,705
0
26 Jul 2022
Enhancing Image Rescaling using Dual Latent Variables in Invertible
  Neural Network
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
Min Zhang
Zhihong Pan
Xiaoxia Zhou
C.-C. Jay Kuo
35
6
0
24 Jul 2022
A Survey on Leveraging Pre-trained Generative Adversarial Networks for
  Image Editing and Restoration
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Ming-Yu Liu
Yuxiang Wei
Xiaohe Wu
Wangmeng Zuo
Lei Zhang
42
1
0
21 Jul 2022
On minimax density estimation via measure transport
On minimax density estimation via measure transport
Sven Wang
Youssef Marzouk
OT
32
19
0
20 Jul 2022
Flow-based Visual Quality Enhancer for Super-resolution Magnetic
  Resonance Spectroscopic Imaging
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging
Siyuan Dong
G. Hangel
Eric Z. Chen
Shanhui Sun
W. Bogner
G. Widhalm
Chenyu You
J. Onofrey
Robin A. de Graaf
James S. Duncan
MedIm
24
5
0
20 Jul 2022
Semantic uncertainty intervals for disentangled latent spaces
Semantic uncertainty intervals for disentangled latent spaces
S. Sankaranarayanan
Anastasios Nikolas Angelopoulos
Stephen Bates
Yaniv Romano
Phillip Isola
UQCV
48
21
0
20 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
33
28
0
19 Jul 2022
Adversarial Training Improves Joint Energy-Based Generative Modelling
Adversarial Training Improves Joint Energy-Based Generative Modelling
Rostislav Korst
Arip Asadulaev
GAN
19
1
0
18 Jul 2022
Comparing the latent space of generative models
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
31
13
0
14 Jul 2022
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
Florentin Coeurdoux
N. Dobigeon
P. Chainais
TPM
9
6
0
12 Jul 2022
Learning Diverse Tone Styles for Image Retouching
Learning Diverse Tone Styles for Image Retouching
Hao Wang
Jiawei Zhang
Ming-Yu Liu
Xiaohe Wu
W. Zuo
38
6
0
12 Jul 2022
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
Yung-Han Ho
Chih-Peng Chang
Peng Chen
Alessandro Gnutti
Wen-Hsiao Peng
VGen
24
68
0
12 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks
On the Robustness and Anomaly Detection of Sparse Neural Networks
Morgane Ayle
Bertrand Charpentier
John Rachwan
Daniel Zügner
Simon Geisler
Stephan Günnemann
AAML
63
3
0
09 Jul 2022
Big Learning
Big Learning
Yulai Cong
Miaoyun Zhao
AI4CE
37
0
0
08 Jul 2022
Generative Adversarial Networks and Other Generative Models
Generative Adversarial Networks and Other Generative Models
Markus T. Wenzel
GAN
22
10
0
08 Jul 2022
FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech
  Synthesis
FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech Synthesis
Yongqiang Wang
Zhou Zhao
21
10
0
08 Jul 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type
  Control and Nonlinear Stability of Training Algorithm
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm
Nader Ganaba
21
0
0
07 Jul 2022
Neural Stein critics with staged $L^2$-regularization
Neural Stein critics with staged L2L^2L2-regularization
Matthew Repasky
Xiuyuan Cheng
Yao Xie
34
3
0
07 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data
Verifying the Union of Manifolds Hypothesis for Image Data
Bradley Brown
Anthony L. Caterini
Brendan Leigh Ross
Jesse C. Cresswell
Gabriel Loaiza-Ganem
44
39
0
06 Jul 2022
Cooperative Distribution Alignment via JSD Upper Bound
Cooperative Distribution Alignment via JSD Upper Bound
Wonwoong Cho
Ziyu Gong
David I. Inouye
24
3
0
05 Jul 2022
A survey of multimodal deep generative models
A survey of multimodal deep generative models
Masahiro Suzuki
Y. Matsuo
SyDa
DRL
62
76
0
05 Jul 2022
StyleFlow For Content-Fixed Image to Image Translation
StyleFlow For Content-Fixed Image to Image Translation
Weichen Fan
Jinghuan Chen
Jiabin Ma
Jun Hou
Shuai Yi
26
5
0
05 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for
  Supervised Anomaly Detection
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
Xincheng Yao
Ruoqing Li
Jing Zhang
Jun Sun
Chongyang Zhang
26
64
0
04 Jul 2022
GlowVC: Mel-spectrogram space disentangling model for
  language-independent text-free voice conversion
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion
Magdalena Proszewska
Grzegorz Beringer
Daniel Sáez-Trigueros
Thomas Merritt
Abdelhamid Ezzerg
Roberto Barra-Chicote
35
6
0
04 Jul 2022
Disentangling Random and Cyclic Effects in Time-Lapse Sequences
Disentangling Random and Cyclic Effects in Time-Lapse Sequences
Erik Härkönen
M. Aittala
Tuomas Kynkaanniemi
S. Laine
Timo Aila
J. Lehtinen
CML
20
5
0
04 Jul 2022
Learning Optimal Transport Between two Empirical Distributions with
  Normalizing Flows
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows
Florentin Coeurdoux
N. Dobigeon
P. Chainais
OOD
OT
37
7
0
04 Jul 2022
Learning Noise-independent Speech Representation for High-quality Voice
  Conversion for Noisy Target Speakers
Learning Noise-independent Speech Representation for High-quality Voice Conversion for Noisy Target Speakers
Liumeng Xue
Shan Yang
Na Hu
Dan Su
Linfu Xie
37
2
0
02 Jul 2022
ν-Flows: Conditional Neutrino Regression
ν-Flows: Conditional Neutrino Regression
Matthew Leigh
J. A. Raine
K. Zoch
T. Golling
BDL
32
25
0
01 Jul 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns
  with Generative Flow Models
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
34
3
0
01 Jul 2022
Automatic Evaluation of Speaker Similarity
Automatic Evaluation of Speaker Similarity
Kamil Deja
Ariadna Sánchez
Julian Roth
Marius Cotescu
25
6
0
01 Jul 2022
Bridging Mean-Field Games and Normalizing Flows with Trajectory
  Regularization
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization
Han Huang
Jiajia Yu
Jie Chen
Rongjie Lai
AI4CE
14
16
0
30 Jun 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk
Rafał Michaluk
Łukasz Garncarek
Przemysław Spurek
Jacek Tabor
Adam Goliñski
35
26
0
29 Jun 2022
Expressive, Variable, and Controllable Duration Modelling in TTS
Expressive, Variable, and Controllable Duration Modelling in TTS
Ammar Abbas
Thomas Merritt
Alexis Moinet
S. Karlapati
Ewa Muszyñska
Simon Slangen
Elia Gatti
Thomas Drugman
38
10
0
28 Jun 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
52
8
0
28 Jun 2022
LED: Latent Variable-based Estimation of Density
LED: Latent Variable-based Estimation of Density
Omri Ben-Dov
Pravir Singh Gupta
Victoria Fernandez-Abrevaya
Michael J. Black
Partha Ghosh
GAN
DRL
27
0
0
23 Jun 2022
Gradual Domain Adaptation via Normalizing Flows
Gradual Domain Adaptation via Normalizing Flows
Shogo Sagawa
H. Hino
CLL
OOD
24
10
0
23 Jun 2022
Neural Inverse Transform Sampler
Neural Inverse Transform Sampler
Henry Li
Y. Kluger
30
4
0
22 Jun 2022
EpiGRAF: Rethinking training of 3D GANs
EpiGRAF: Rethinking training of 3D GANs
Ivan Skorokhodov
Sergey Tulyakov
Yiqun Wang
Peter Wonka
DiffM
46
125
0
21 Jun 2022
Marginal Tail-Adaptive Normalizing Flows
Marginal Tail-Adaptive Normalizing Flows
M. Laszkiewicz
Johannes Lederer
Asja Fischer
MedIm
28
8
0
21 Jun 2022
An Invertible Graph Diffusion Neural Network for Source Localization
An Invertible Graph Diffusion Neural Network for Source Localization
Junxiang Wang
Junji Jiang
Liang Zhao
DiffM
31
37
0
18 Jun 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Efficient Aggregated Kernel Tests using Incomplete UUU-statistics
Antonin Schrab
Ilmun Kim
Benjamin Guedj
Arthur Gretton
43
29
0
18 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang
Jianfei Chen
Chongxuan Li
Jun Zhu
Bo Zhang
MQ
26
7
0
17 Jun 2022
Generalised Policy Improvement with Geometric Policy Composition
Generalised Policy Improvement with Geometric Policy Composition
S. Thakoor
Mark Rowland
Diana Borsa
Will Dabney
Rémi Munos
André Barreto
OffRL
22
7
0
17 Jun 2022
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