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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
Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries
Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries
Zhiqing Guo
Gaobo Yang
Dengyong Zhang
Ming Xia
CVBM
22
36
0
02 May 2022
Exposing Deepfake Face Forgeries with Guided Residuals
Exposing Deepfake Face Forgeries with Guided Residuals
Zhiqing Guo
Gaobo Yang
Jiyou Chen
Xingming Sun
CVBM
39
26
0
02 May 2022
Short-Term Density Forecasting of Low-Voltage Load using
  Bernstein-Polynomial Normalizing Flows
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows
M. Arpogaus
Marcus Voss
Beate Sick
Mark Nigge-Uricher
Oliver Durr
33
16
0
29 Apr 2022
Can deep learning match the efficiency of human visual long-term memory
  in storing object details?
Can deep learning match the efficiency of human visual long-term memory in storing object details?
Emin Orhan
VLM
OCL
28
0
0
27 Apr 2022
Flow-Adapter Architecture for Unsupervised Machine Translation
Flow-Adapter Architecture for Unsupervised Machine Translation
Yihong Liu
Haris Jabbar
Hinrich Schütze
AI4CE
27
8
0
26 Apr 2022
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo
  and Text
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Subhadeep Koley
Tao Xiang
Yi-Zhe Song
49
29
0
25 Apr 2022
Semi-Parametric Neural Image Synthesis
Semi-Parametric Neural Image Synthesis
A. Blattmann
Robin Rombach
Kaan Oktay
Jonas Muller
Bjorn Ommer
DiffM
36
28
0
25 Apr 2022
Parallel Synthesis for Autoregressive Speech Generation
Parallel Synthesis for Autoregressive Speech Generation
Po-Chun Hsu
Da-Rong Liu
Andy T. Liu
Hung-yi Lee
44
5
0
25 Apr 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And
  Dataset
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt
M. Schuessler
Oana-Iuliana Popescu
Philipp Weiß
Tim Landgraf
FAtt
37
14
0
25 Apr 2022
FS-NCSR: Increasing Diversity of the Super-Resolution Space via
  Frequency Separation and Noise-Conditioned Normalizing Flow
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow
Ki-Ung Song
D. Shim
Kang-Wook Kim
Jae-young Lee
Young-Gon Kim
SupR
30
9
0
20 Apr 2022
Music Source Separation with Generative Flow
Music Source Separation with Generative Flow
Ge Zhu
Jordan Darefsky
Fei Jiang
A. Selitskiy
Z. Duan
25
6
0
19 Apr 2022
Generating 3D Molecules for Target Protein Binding
Generating 3D Molecules for Target Protein Binding
Meng Liu
Youzhi Luo
Kanji Uchino
Koji Maruhashi
Shuiwang Ji
16
113
0
19 Apr 2022
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion
Evonne Ng
Hanbyul Joo
Liwen Hu
Hao Li
Trevor Darrell
Angjoo Kanazawa
Shiry Ginosar
VGen
13
92
0
18 Apr 2022
SETTI: A Self-supervised Adversarial Malware Detection Architecture in
  an IoT Environment
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment
Marjan Golmaryami
R. Taheri
Zahra Pooranian
Mohammad Shojafar
Pei Xiao
38
12
0
16 Apr 2022
Conditional Injective Flows for Bayesian Imaging
Conditional Injective Flows for Bayesian Imaging
AmirEhsan Khorashadizadeh
K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
MedIm
31
16
0
15 Apr 2022
Universal approximation property of invertible neural networks
Universal approximation property of invertible neural networks
Isao Ishikawa
Takeshi Teshima
Koichi Tojo
Kenta Oono
Masahiro Ikeda
Masashi Sugiyama
54
30
0
15 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Gabriel Loaiza-Ganem
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
GAN
DRL
24
28
0
14 Apr 2022
Discretely Indexed Flows
Discretely Indexed Flows
Elouan Argouarc'h
Franccois Desbouvries
Eric Barat
Eiji Kawasaki
T. Dautremer
18
0
0
04 Apr 2022
Estimating Fine-Grained Noise Model via Contrastive Learning
Estimating Fine-Grained Noise Model via Contrastive Learning
Yunhao Zou
Ying Fu
DiffM
31
24
0
03 Apr 2022
Perception Prioritized Training of Diffusion Models
Perception Prioritized Training of Diffusion Models
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
35
233
0
01 Apr 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic
  Surface Representation via Neural Homeomorphism
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
Jiahui Lei
Kostas Daniilidis
46
55
0
30 Mar 2022
Tampered VAE for Improved Satellite Image Time Series Classification
Tampered VAE for Improved Satellite Image Time Series Classification
Xin Cai
Y. Bi
Peter Nicholl
AI4TS
22
1
0
30 Mar 2022
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis
Zhiheng Li
Martin Renqiang Min
Keqin Li
Chenliang Xu
EGVM
43
39
0
29 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
74
88
0
28 Mar 2022
A Neural Vocoder Based Packet Loss Concealment Algorithm
A Neural Vocoder Based Packet Loss Concealment Algorithm
Yaofeng Zhou
C. Bao
25
2
0
26 Mar 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
34
28
0
25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality
  Speech Synthesis
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
DiffM
44
92
0
25 Mar 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
37
6
0
24 Mar 2022
A Deep Learning Approach to Probabilistic Forecasting of Weather
A Deep Learning Approach to Probabilistic Forecasting of Weather
Nick Rittler
Carlo Graziani
Jiali Wang
R. Kotamarthi
BDL
27
2
0
23 Mar 2022
VQ-Flows: Vector Quantized Local Normalizing Flows
VQ-Flows: Vector Quantized Local Normalizing Flows
Sahil Sidheekh
Chris B. Dock
Tushar Jain
R. Balan
M. Singh
38
7
0
22 Mar 2022
Interpreting Class Conditional GANs with Channel Awareness
Interpreting Class Conditional GANs with Channel Awareness
Yin-Yin He
Zhiyi Zhang
Jiapeng Zhu
Yujun Shen
Qifeng Chen
GAN
21
1
0
21 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards
  Solving the Gordian Knot of Generative Models in Healthcare
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann
Lynton Ardizzone
Jan Egger
Jens Kleesiek
DRL
MedIm
32
10
0
21 Mar 2022
A new perspective on probabilistic image modeling
A new perspective on probabilistic image modeling
A. Gepperth
16
2
0
21 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODD
OOD
45
3
0
19 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal
  Optimization adjoint with Moving Speed
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
Shian Du
Yihong Luo
Wei Chen
Jian Xu
Delu Zeng
37
7
0
19 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders
Image Super-Resolution With Deep Variational Autoencoders
Darius Chira
Ilian Haralampiev
Ole Winther
Andrea Dittadi
Valentin Liévin
DRL
35
33
0
17 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
29
36
0
16 Mar 2022
Text-free non-parallel many-to-many voice conversion using normalising
  flows
Text-free non-parallel many-to-many voice conversion using normalising flows
Thomas Merritt
Abdelhamid Ezzerg
Piotr Bilinski
Magdalena Proszewska
Kamil Pokora
Roberto Barra-Chicote
Daniel Korzekwa
41
14
0
15 Mar 2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via
  Normalizing Flows in Latent Space
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
Emre Aksan
Shugao Ma
Akin Caliskan
Stanislav Pidhorskyi
Alexander Richard
S. Wei
Jason M. Saragih
Otmar Hilliges
3DH
16
1
0
15 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation
Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen
Brandon Amos
Maximilian Nickel
32
10
0
14 Mar 2022
Secret-to-Image Reversible Transformation for Generative Steganography
Secret-to-Image Reversible Transformation for Generative Steganography
Zhili Zhou
Yuecheng Su
Q. M. Jonathan Wu
Zhangjie Fu
Yunqing Shi
17
53
0
13 Mar 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVM
VLM
56
200
0
11 Mar 2022
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
Aihua Mao
Zihui Du
Yu-Hui Wen
Jun-ying Xuan
Yang Liu
27
28
0
11 Mar 2022
aiWave: Volumetric Image Compression with 3-D Trained Affine
  Wavelet-like Transform
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
Dongmei Xue
Haichuan Ma
L. Li
Dong Liu
Zhiwei Xiong
MedIm
25
24
0
11 Mar 2022
Dynamic Dual-Output Diffusion Models
Dynamic Dual-Output Diffusion Models
Yaniv Benny
Lior Wolf
DiffM
31
26
0
08 Mar 2022
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
Eike Cramer
Felix Rauh
Alexander Mitsos
Raúl Tempone
Manuel Dahmen
DRL
43
8
0
08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos
  in the Wild
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Xuefeng Du
Xin Eric Wang
Gabriel Gozum
Yixuan Li
OODD
48
91
0
08 Mar 2022
Learning to Bound: A Generative Cramér-Rao Bound
Learning to Bound: A Generative Cramér-Rao Bound
H. Habi
H. Messer
Y. Bresler
25
9
0
07 Mar 2022
Variational Auto-Encoder based Mandarin Speech Cloning
Variational Auto-Encoder based Mandarin Speech Cloning
Qingyu Xing
Xiaohan Ma
26
0
0
06 Mar 2022
Off-Policy Evaluation in Embedded Spaces
Off-Policy Evaluation in Embedded Spaces
Jaron J. R. Lee
David Arbour
Georgios Theocharous
OffRL
25
3
0
05 Mar 2022
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