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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 / 1,799 papers shown
Title
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask
  Prompt
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt
Zhiqi Huang
Hui Xiong
Haoyu Wang
Longguang Wang
Zhiheng Li
DiffM
38
0
0
08 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong
Christian L. Jacobsen
Mehdi Khalloufi
Maryam Akram
Wanjiao Liu
Karthik Duraisamy
Xun Huan
BDL
59
6
0
08 Apr 2024
Correcting Diffusion-Based Perceptual Image Compression with Privileged
  End-to-End Decoder
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
Yiyang Ma
Wenhan Yang
Jiaying Liu
DiffM
40
5
0
07 Apr 2024
VF-NeRF: Viewshed Fields for Rigid NeRF Registration
VF-NeRF: Viewshed Fields for Rigid NeRF Registration
Leo Segre
S. Avidan
43
0
0
04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated
  Images
Multi Positive Contrastive Learning with Pose-Consistent Generated Images
Sho Inayoshi
Aji Resindra Widya
Satoshi Ozaki
Junji Otsuka
Takeshi Ohashi
3DH
52
1
0
04 Apr 2024
Universal Functional Regression with Neural Operator Flows
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi
Angela F. Gao
Zachary E. Ross
Kamyar Azizzadenesheli
37
3
0
03 Apr 2024
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot
  Text-to-Speech
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
Jaehyeon Kim
Keon Lee
Seungjun Chung
Jaewoong Cho
74
42
0
03 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
  Black-box Scenario
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
37
0
0
30 Mar 2024
Molecular Generative Adversarial Network with Multi-Property
  Optimization
Molecular Generative Adversarial Network with Multi-Property Optimization
Huidong Tang
Chen Li
Sayaka Kamei
Yoshihiro Yamanishi
Yasuhiko Morimoto
45
0
0
29 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
Rahul G. Krishnan
G. Loaiza-Ganem
OODD
34
9
0
27 Mar 2024
One flow to correct them all: improving simulations in high-energy
  physics with a single normalising flow and a switch
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
Caio C. Daumann
M. Donega
Johannes Erdmann
M. Galli
Jan Lukas Späh
D. Valsecchi
AI4CE
22
0
0
27 Mar 2024
CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection
  of Pathological Pulmonary CT scans
CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection of Pathological Pulmonary CT scans
Aissam Djahnine
Alexandre Popoff
Emilien Jupin-Delevaux
Vincent Cottin
O. Nempont
L. Boussel
OOD
MedIm
13
0
0
27 Mar 2024
Distributed collaborative anomalous sound detection by embedding sharing
Distributed collaborative anomalous sound detection by embedding sharing
Kota Dohi
Y. Kawaguchi
FedML
16
2
0
25 Mar 2024
Training Generative Adversarial Network-Based Vocoder with Limited Data
  Using Augmentation-Conditional Discriminator
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
31
0
0
25 Mar 2024
Invertible Diffusion Models for Compressed Sensing
Invertible Diffusion Models for Compressed Sensing
Bin Chen
Zhenyu Zhang
Weiqi Li
Chen Zhao
Jiwen Yu
Shijie Zhao
Jie Chen
Jian Zhang
DiffM
59
5
0
25 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification
Adversarial Guided Diffusion Models for Adversarial Purification
Guang Lin
Zerui Tao
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
40
6
0
24 Mar 2024
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified
  Anomaly Detection
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
Xincheng Yao
Ruoqing Li
Zefeng Qian
Lu Wang
Chongyang Zhang
22
9
0
20 Mar 2024
3R-INN: How to be climate friendly while consuming/delivering videos?
3R-INN: How to be climate friendly while consuming/delivering videos?
Zoubida Ameur
C. Demarty
Daniel Ménard
Olivier Le Meur
VGen
39
2
0
18 Mar 2024
Artifact Feature Purification for Cross-domain Detection of AI-generated
  Images
Artifact Feature Purification for Cross-domain Detection of AI-generated Images
Zheling Meng
Bo Peng
Jing Dong
Tieniu Tan
89
4
0
17 Mar 2024
Towards the Reusability and Compositionality of Causal Representations
Towards the Reusability and Compositionality of Causal Representations
Davide Talon
Phillip Lippe
Stuart James
Alessio Del Bue
Sara Magliacane
BDL
CML
46
4
0
14 Mar 2024
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional
  Normalizing Flows
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
Zhan Dang
Yu Zheng
Xinglin Lin
Chunlei Peng
Qiuyu Chen
Xinbo Gao
AI4TS
46
5
0
13 Mar 2024
Towards the Uncharted: Density-Descending Feature Perturbation for
  Semi-supervised Semantic Segmentation
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
Xiaoyang Wang
H. Bai
Limin Yu
Yao-Min Zhao
Jimin Xiao
AAML
48
6
0
11 Mar 2024
FlowVQTalker: High-Quality Emotional Talking Face Generation through
  Normalizing Flow and Quantization
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
Shuai Tan
Bin Ji
Ye Pan
42
15
0
11 Mar 2024
MoST: Motion Style Transformer between Diverse Action Contents
MoST: Motion Style Transformer between Diverse Action Contents
Boeun Kim
Jungho Kim
Hyung Jin Chang
J. Choi
53
5
0
10 Mar 2024
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural
  Networks
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
Yuli Wu
Julian Wittmann
Peter Walter
Johannes Stegmaier
35
1
0
07 Mar 2024
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical
  Spatial and Temporal Denoiser
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Qingyuan Cai
Xuecai Hu
Saihui Hou
Li Yao
Yongzhen Huang
DiffM
29
11
0
07 Mar 2024
Mutual Information Estimation via Normalizing Flows
Mutual Information Estimation via Normalizing Flows
I. Butakov
Alexander Tolmachev
S. Malanchuk
A. Neopryatnaya
Alexey Frolov
40
7
0
04 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng
Tian Han
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Søren Hauberg
Bo-wen Li
DiffM
38
2
0
04 Mar 2024
Approximations to the Fisher Information Metric of Deep Generative
  Models for Out-Of-Distribution Detection
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
Sam Dauncey
Chris Holmes
Christopher Williams
Fabian Falck
52
0
0
03 Mar 2024
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech
  Synthesis
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis
Wei-wei Lin
Chenhang He
Man-Wai Mak
Jiachen Lian
Kong Aik Lee
DiffM
49
0
0
01 Mar 2024
LoLiSRFlow: Joint Single Image Low-light Enhancement and
  Super-resolution via Cross-scale Transformer-based Conditional Flow
LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow
Ziyu Yue
Jiaxin Gao
Sihan Xie
Yang Liu
Zhixun Su
23
1
0
29 Feb 2024
LoDIP: Low light phase retrieval with deep image prior
LoDIP: Low light phase retrieval with deep image prior
Raunak Manekar
Elisa Negrini
Minh Pham
Daniel Jacobs
Jaideep Srivastava
23
0
0
27 Feb 2024
Learning to See Through Dazzle
Learning to See Through Dazzle
Xiaopeng Peng
Erin F. Fleet
A. Watnik
Grover A. Swartzlander
GAN
AAML
34
4
0
24 Feb 2024
Traditional Transformation Theory Guided Model for Learned Image
  Compression
Traditional Transformation Theory Guided Model for Learned Image Compression
Zhiyuan Li
Chenyang Ge
Shun Li
35
0
0
24 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić
Matej Grcić
Sinisa Segvic
UQCV
59
15
0
23 Feb 2024
Moonwalk: Inverse-Forward Differentiation
Moonwalk: Inverse-Forward Differentiation
Dmitrii Krylov
Armin Karamzade
Roy Fox
27
1
0
22 Feb 2024
Intriguing Properties of Modern GANs
Intriguing Properties of Modern GANs
Roy Friedman
Yair Weiss
44
0
0
21 Feb 2024
WildFake: A Large-scale Challenging Dataset for AI-Generated Images
  Detection
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Yan Hong
Jianfu Zhang
74
10
0
19 Feb 2024
Deep adaptive sampling for surrogate modeling without labeled data
Deep adaptive sampling for surrogate modeling without labeled data
Xili Wang
Keju Tang
Jiayu Zhai
Xiaoliang Wan
Chao Yang
35
2
0
17 Feb 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation
Universal Prompt Optimizer for Safe Text-to-Image Generation
Zongyu Wu
Hongcheng Gao
Yueze Wang
Xiang Zhang
Suhang Wang
EGVM
23
9
0
16 Feb 2024
Understanding Likelihood of Normalizing Flow and Image Complexity
  through the Lens of Out-of-Distribution Detection
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
Genki Osada
Tsubasa Takahashi
Takashi Nishide
OODD
14
1
0
16 Feb 2024
ManiFPT: Defining and Analyzing Fingerprints of Generative Models
ManiFPT: Defining and Analyzing Fingerprints of Generative Models
Hae Jin Song
Mahyar Khayatkhoei
Wael AbdAlmageed
21
6
0
16 Feb 2024
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning
fff-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
Yiwei Lu
Guojun Zhang
Sun Sun
Hongyu Guo
Yaoliang Yu
VLM
23
5
0
15 Feb 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Shahar Yadin
Noam Elata
T. Michaeli
DiffM
48
1
0
15 Feb 2024
Feature Density Estimation for Out-of-Distribution Detection via
  Normalizing Flows
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
Evan Cook
Marc-Antoine Lavoie
Steven L. Waslander
OODD
19
2
0
09 Feb 2024
Sequential Flow Straightening for Generative Modeling
Sequential Flow Straightening for Generative Modeling
Jongmin Yoon
Juho Lee
36
0
0
09 Feb 2024
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
Chengjian Feng
Yujie Zhong
Zequn Jie
Weidi Xie
Lin Ma
ObjD
46
13
0
08 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through
  Unbalanced Optimal Transport
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
45
6
0
08 Feb 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
J. Brahmanage
Jiajing Ling
Akshat Kumar
36
3
0
07 Feb 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM
Mixed Noise and Posterior Estimation with Conditional DeepGEM
Paul Hagemann
J. Hertrich
Maren Casfor
Sebastian Heidenreich
Gabriele Steidl
29
0
0
05 Feb 2024
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