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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
Zero-Shot Translation using Diffusion Models
Zero-Shot Translation using Diffusion Models
Eliya Nachmani
Shaked Dovrat
DiffM
VLM
32
9
0
02 Nov 2021
Projected GANs Converge Faster
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
52
234
0
01 Nov 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression
  via a Uniform Coder
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang
Ning Kang
Tom Ryder
Zhenguo Li
32
31
0
01 Nov 2021
Pseudo-Spherical Contrastive Divergence
Pseudo-Spherical Contrastive Divergence
Lantao Yu
Jiaming Song
Yang Song
Stefano Ermon
33
7
0
01 Nov 2021
Uncertainty quantification for ptychography using normalizing flows
Uncertainty quantification for ptychography using normalizing flows
Agnimitra Dasgupta
Z. Di
AI4CE
36
5
0
01 Nov 2021
PIE: Pseudo-Invertible Encoder
PIE: Pseudo-Invertible Encoder
J. Beitler
Ivan Sosnovik
A. Smeulders
17
10
0
31 Oct 2021
Resampling Base Distributions of Normalizing Flows
Resampling Base Distributions of Normalizing Flows
Vincent Stimper
Bernhard Schölkopf
José Miguel Hernández-Lobato
BDL
32
32
0
29 Oct 2021
What Do We Mean by Generalization in Federated Learning?
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
46
72
0
27 Oct 2021
From Image to Imuge: Immunized Image Generation
From Image to Imuge: Immunized Image Generation
Qichao Ying
Zhenxing Qian
Hang Zhou
Haisheng Xu
Xinpeng Zhang
Siyi Li
20
21
0
27 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Yixuan Li
M. Rohban
Mohammad Sabokrou
OOD
43
191
0
26 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera
Jacek Tabor
A. Nowak
Andrzej Bedychaj
Massimiliano Patacchiola
Tomasz Trzciñski
Przemysław Spurek
Maciej Ziȩba
23
19
0
26 Oct 2021
Sinusoidal Flow: A Fast Invertible Autoregressive Flow
Sinusoidal Flow: A Fast Invertible Autoregressive Flow
Yumou Wei
TPM
6
0
0
26 Oct 2021
Generative Flows as a General Purpose Solution for Inverse Problems
Generative Flows as a General Purpose Solution for Inverse Problems
J. Chávez
AI4CE
21
1
0
25 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs
Neural Flows: Efficient Alternative to Neural ODEs
Marin Bilovs
Johanna Sommer
Syama Sundar Rangapuram
Tim Januschowski
Stephan Günnemann
AI4TS
43
71
0
25 Oct 2021
Generative Networks for Precision Enthusiasts
Generative Networks for Precision Enthusiasts
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
21
59
0
22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
196
889
0
21 Oct 2021
Generative Adversarial Graph Convolutional Networks for Human Action
  Synthesis
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Bruno Degardin
João Neves
Vasco Lopes
J. Brito
Ehsan Yaghoubi
Hugo Proencca
GAN
AI4CE
38
33
0
21 Oct 2021
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison
Rithesh Kumar
Kundan Kumar
Prem Seetharaman
Aaron Courville
Yoshua Bengio
GAN
44
69
0
19 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
Shweta Mahajan
Stefan Roth
TPM
17
2
0
17 Oct 2021
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without
  Retraining
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
OOD
60
29
0
15 Oct 2021
Diffusion Normalizing Flow
Diffusion Normalizing Flow
Qinsheng Zhang
Yongxin Chen
DiffM
35
87
0
14 Oct 2021
Embedded-model flows: Combining the inductive biases of model-free deep
  learning and explicit probabilistic modeling
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Gianluigi Silvestri
Emily Fertig
David A. Moore
L. Ambrogioni
BDL
TPM
AI4CE
43
3
0
12 Oct 2021
RWN: Robust Watermarking Network for Image Cropping Localization
RWN: Robust Watermarking Network for Image Cropping Localization
Qichao Ying
Xiaoxiao Hu
Xinming Zhang
Zhenxing Qian
Xinpeng Zhang
22
11
0
12 Oct 2021
Denoising Diffusion Gamma Models
Denoising Diffusion Gamma Models
Eliya Nachmani
S. Robin
Lior Wolf
DiffM
VLM
26
30
0
10 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in
  Drug Design
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
Yi Zhang
AI4CE
50
5
0
10 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViT
VLM
DRL
54
492
0
09 Oct 2021
Universal Joint Approximation of Manifolds and Densities by Simple
  Injective Flows
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
Michael Puthawala
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
20
13
0
08 Oct 2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou
Amlan Kar
Maria Shugrina
Karsten Kreis
Andreas Geiger
Sanja Fidler
3DV
ViT
53
148
0
07 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
135
306
0
07 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image
  Manipulation
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim
Taesung Kwon
Jong Chul Ye
DiffM
72
627
0
06 Oct 2021
Scaling Up Machine Learning For Quantum Field Theory with Equivariant
  Continuous Flows
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
P. D. Haan
Corrado Rainone
Miranda C. N. Cheng
Roberto Bondesan
AI4CE
24
35
0
06 Oct 2021
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks
E. Hortal
Rodrigo Brechard Alarcia
GAN
26
2
0
06 Oct 2021
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Aditya Sanghi
Hang Chu
Joseph G. Lambourne
Ye Wang
Chin-Yi Cheng
Marco Fumero
Kamal Rahimi Malekshan
CLIP
65
289
0
06 Oct 2021
Inference and De-Noising of Non-Gaussian Particle Distribution
  Functions: A Generative Modeling Approach
Inference and De-Noising of Non-Gaussian Particle Distribution Functions: A Generative Modeling Approach
J. Donaghy
K. Germaschewski
DiffM
25
0
0
05 Oct 2021
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Yi Ren
Jinglin Liu
Zhou Zhao
47
78
0
30 Sep 2021
End-to-End Image Compression with Probabilistic Decoding
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma
Dong Liu
Cunhui Dong
Li Li
Feng Wu
19
1
0
30 Sep 2021
DRAN: Detailed Region-Adaptive Normalization for Conditional Image
  Synthesis
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
Yueming Lyu
P. Chen
Jingna Sun
Tieniu Tan
Xu Wang
Jing Dong
DiffM
27
8
0
29 Sep 2021
Generative Probabilistic Image Colorization
Generative Probabilistic Image Colorization
Chie Furusawa
S. Kitaoka
Michael Li
Yuri Odagiri
DiffM
179
4
0
29 Sep 2021
Spread Flows for Manifold Modelling
Spread Flows for Manifold Modelling
Mingtian Zhang
Yitong Sun
Chen Zhang
Jingyu Sun
AI4CE
34
2
0
29 Sep 2021
MSR-NV: Neural Vocoder Using Multiple Sampling Rates
MSR-NV: Neural Vocoder Using Multiple Sampling Rates
Kentaro Mitsui
Kei Sawada
33
0
0
28 Sep 2021
On Isotropy Calibration of Transformers
On Isotropy Calibration of Transformers
Yue Ding
Karolis Martinkus
Damian Pascual
Simon Clematide
Roger Wattenhofer
27
1
0
27 Sep 2021
Visual Anomaly Detection for Images: A Survey
Visual Anomaly Detection for Images: A Survey
Jie Yang
Rui Xu
Zhiquan Qi
Yong Shi
25
36
0
27 Sep 2021
Attentive Contractive Flow with Lipschitz-constrained Self-Attention
Attentive Contractive Flow with Lipschitz-constrained Self-Attention
Avideep Mukherjee
Badri N. Patro
Vinay P. Namboodiri
30
0
0
24 Sep 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains
  Viewpoint
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint
Paul Hagemann
J. Hertrich
Gabriele Steidl
BDL
51
36
0
23 Sep 2021
JEM++: Improved Techniques for Training JEM
JEM++: Improved Techniques for Training JEM
Xiulong Yang
Shihao Ji
AAML
VLM
29
28
0
19 Sep 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Maciej Wołczyk
Magdalena Proszewska
Lukasz Maziarka
Maciej Ziȩba
Patryk Wielopolski
Rafał Kurczab
Marek Śmieja
DRL
31
5
0
18 Sep 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural
  Networks
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
G. Bingham
Risto Miikkulainen
ODL
29
4
0
18 Sep 2021
PIRenderer: Controllable Portrait Image Generation via Semantic Neural
  Rendering
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
Yurui Ren
Gezhong Li
Yuanqi Chen
Thomas H. Li
Shan Liu
DiffM
VGen
49
226
0
17 Sep 2021
Complementary Feature Enhanced Network with Vision Transformer for Image
  Dehazing
Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing
Dong Zhao
Jia Li
Hongyu Li
Longhao Xu
ViT
32
16
0
15 Sep 2021
Conditional Synthetic Data Generation for Robust Machine Learning
  Applications with Limited Pandemic Data
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Hari Prasanna Das
Ryan Tran
Japjot Singh
Xiangyu Yue
G. Tison
Alberto L. Sangiovanni-Vincentelli
C. Spanos
OOD
MedIm
80
51
0
14 Sep 2021
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