Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1807.03039
Cited By
Glow: Generative Flow with Invertible 1x1 Convolutions
9 July 2018
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Glow: Generative Flow with Invertible 1x1 Convolutions"
50 / 1,799 papers shown
Title
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
Chirag Vashist
Shichong Peng
Ke Li
DiffM
44
1
0
26 Sep 2024
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection
Lam Pham
Phat Lam
Dat Tran
Hieu Tang
Tin Nguyen
Alexander Schindler
Canh Vu
Alexander Polonsky
Canh Vu
61
3
0
23 Sep 2024
AudioComposer: Towards Fine-grained Audio Generation with Natural Language Descriptions
Yishuo Wang
Hangting Chen
Dongchao Yang
Zhiyong Wu
Xixin Wu
DiffM
45
2
0
19 Sep 2024
INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
Soumitra Kundu
Gargi Panda
Saumik Bhattacharya
Aurobinda Routray
Rajlakshmi Guha
47
0
0
13 Sep 2024
Neural Product Importance Sampling via Warp Composition
Joey Litalien
Miloš Hašan
Fujun Luan
Krishna Mullia
Iliyan Georgiev
31
0
0
12 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Sara Pohland
Claire Tomlin
43
0
0
09 Sep 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
Yichuan Mo
Hui Huang
Mingjie Li
Ang Li
Yisen Wang
AAML
DiffM
40
16
0
09 Sep 2024
Plug-and-Hide: Provable and Adjustable Diffusion Generative Steganography
Jiahao Zhu
Zixuan Chen
Lingxiao Yang
Xiaohua Xie
Yi Zhou
DiffM
28
0
0
07 Sep 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection
Yewen Li
Chaojie Wang
Xiaobo Xia
Xu He
Ruyi An
Dong Li
Tongliang Liu
Bo An
Xinrun Wang
OODD
50
0
0
05 Sep 2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan G. A. Viviers
Amaan Valiuddin
Francisco Caetano
Lemar Abdi
Lena Filatova
Peter H. N. de With
Fons van der Sommen
OOD
OODD
29
2
0
04 Sep 2024
Backdoor Defense through Self-Supervised and Generative Learning
Ivan Sabolić
Ivan Grubišić
Siniša Šegvić
AAML
62
0
0
02 Sep 2024
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
Yixuan Zhou
Xing Xu
Zhe Sun
Jingkuan Song
A. Cichocki
Heng Tao Shen
58
1
0
02 Sep 2024
Approximately Invertible Neural Network for Learned Image Compression
Yanbo Gao
Meng Fu
Shuai Li
Chong Lv
Xun Cai
Hui Yuan
Mao Ye
24
0
0
30 Aug 2024
SSDM: Scalable Speech Dysfluency Modeling
Jiachen Lian
Xuanru Zhou
Z. Ezzes
Jet M J Vonk
Brittany Morin
D. Baquirin
Zachary Mille
M. G. Tempini
Gopala Anumanchipalli
AuLLM
34
1
0
29 Aug 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
41
2
0
28 Aug 2024
Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition
Leonid Erlygin
Alexey Zaytsev
CVBM
UQCV
EDL
57
0
0
26 Aug 2024
JacNet: Learning Functions with Structured Jacobians
Jonathan Lorraine
Safwan Hossain
48
6
0
23 Aug 2024
ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking
Qinglong Meng
Chongkun Xia
Xueqian Wang
21
0
0
21 Aug 2024
Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning
Wenwen Qiang
Luntian Mou
Changwen Zheng
Wen Gao
AAML
36
2
0
19 Aug 2024
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Rishabh Agrawal
Nathan Dahlin
Rahul Jain
Ashutosh Nayyar
OffRL
36
0
0
17 Aug 2024
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks
Raghavendra Singh
21
0
0
14 Aug 2024
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer
Yihong Lin
Zhaoxin Fan
Lingyu Xiong
Liang Peng
Xiandong Li
Xiandong Li
Wenxiong Kang
Xiandong Li
Huang Xu
47
3
0
03 Aug 2024
Monocular Human-Object Reconstruction in the Wild
Chaofan Huo
Ye-ling Shi
Jingya Wang
3DH
48
1
0
30 Jul 2024
Importance Corrected Neural JKO Sampling
Johannes Hertrich
Robert Gruhlke
40
1
0
29 Jul 2024
FIIH: Fully Invertible Image Hiding for Secure and Robust
Lang Huang
Lin Huo
Zheng Gan
Xinrong He
41
0
0
24 Jul 2024
Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization
Junyan Wu
Wei Lu
Xiangyang Luo
Rui Yang
Qian Wang
Xiaochun Cao
40
4
0
23 Jul 2024
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
Farzad Beizaee
Gregory A. Lodygensky
Chris L Adamson
Deanne K. Thompson
Jeanie L. Y. Cheong
Peter J. Anderso
Christian Desrosiers
Jose Dolz
43
1
0
22 Jul 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo
Michelle Adeline
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
DiffM
52
0
0
21 Jul 2024
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
MedIm
46
2
0
21 Jul 2024
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding
Jiangtao Zhang
Zongsheng Yue
Hui Wang
Qian Zhao
Deyu Meng
VLM
48
0
0
20 Jul 2024
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
Charumathi Badrinath
Usha Bhalla
Alexander X. Oesterling
Suraj Srinivas
Himabindu Lakkaraju
DiffM
35
0
0
18 Jul 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael
Timothy Redgrave
Daniel Gonzalez Cedre
Walter J. Scheirer
BDL
39
2
0
16 Jul 2024
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification
Jingyi Shen
Yuhan Duan
Han-Wei Shen
AI4CE
35
1
0
16 Jul 2024
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models
Ouxiang Li
Yanbin Hao
Zhicai Wang
Bin Zhu
Shuo Wang
Zaixi Zhang
Fuli Feng
DiffM
25
3
0
16 Jul 2024
Cover-separable Fixed Neural Network Steganography via Deep Generative Models
Guobiao Li
Sheng Li
Zhenxing Qian
Xinpeng Zhang
AAML
24
1
0
16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image
Sara Pohland
Claire Tomlin
19
1
0
15 Jul 2024
On Exact Bit-level Reversible Transformers Without Changing Architectures
Guoqiang Zhang
J. P. Lewis
W. Kleijn
MQ
AI4CE
32
0
0
12 Jul 2024
Several questions of visual generation in 2024
Shuyang Gu
40
1
0
11 Jul 2024
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation
Yichun Ye
He Zhang
Ye Tian
Jian Sun
49
0
0
10 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
37
0
0
06 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
47
1
0
04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
Saandeep Aathreya
Shaun J. Canavan
OODD
44
0
0
03 Jul 2024
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
Ling Yang
Zixiang Zhang
Zhilong Zhang
Xingchao Liu
Minkai Xu
Wentao Zhang
Chenlin Meng
Stefano Ermon
Bin Cui
48
19
0
02 Jul 2024
EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans
Nicola Garau
Giulia Martinelli
N. Bisagno
Denis Tomè
Carsten Stoll
3DH
49
0
0
28 Jun 2024
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
Mahmoud Ibrahim
Yasmina Al Khalil
S. Amirrajab
Chang Sun
M. Breeuwer
J. Pluim
Bart Elen
Gokhan Ertaylan
Michel Dumontier
SyDa
MedIm
42
7
0
27 Jun 2024
Generative Topological Networks
Alona Levy-Jurgenson
Z. Yakhini
49
0
0
21 Jun 2024
StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images
Rushikesh Zawar
Shaurya Dewan
Andrew F. Luo
Margaret M. Henderson
Michael J. Tarr
Leila Wehbe
VGen
CoGe
46
1
0
19 Jun 2024
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
Luan Thanh Trinh
T. Hamagami
DiffM
40
5
0
17 Jun 2024
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu
Jiabei Liu
Keqin Li
Shuying Dai
Bo Hong
Peng Zhao
Changsong Wei
48
7
0
16 Jun 2024
Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid
Yossi Gandelsman
Kuan-Chieh Jackson Wang
Rameen Abdal
Gordon Wetzstein
Alexei A. Efros
Kfir Aberman
34
10
0
13 Jun 2024
Previous
1
2
3
4
5
6
...
34
35
36
Next