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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
Accelerate TarFlow Sampling with GS-Jacobi Iteration
Accelerate TarFlow Sampling with GS-Jacobi Iteration
Ben Liu
Zhen Qin
17
0
0
19 May 2025
DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis
DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis
Zeeshan Ahmad
Shudi Bao
Meng Chen
20
0
0
14 May 2025
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Ibrahim Elsharkawy
Yonatan Kahn
21
0
0
13 May 2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Bowen Zhang
Congchao Guo
Geng Yang
Hang Yu
Haozhe Zhang
...
Yichen Xiao
Yiying Zhou
Yujie Zhang
Yuan Lu
Yucen He
26
0
0
12 May 2025
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
Da-Hee Yang
Jaeuk Lee
Joon-Hyuk Chang
VLM
AI4CE
36
0
0
03 May 2025
Heterophily-informed Message Passing
Heterophily-informed Message Passing
Haishan Wang
Arno Solin
Vikas K. Garg
27
0
0
28 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo
Michelle Adeline
Julia Kaiwen Lau
Fang Yu Leong
Hwa Hui Tew
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
BDL
71
0
0
22 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
H. Kim
BDL
42
2
0
21 Apr 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Karan Jain
Mohammad Nayeem Teli
MedIm
27
0
0
15 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffM
AAML
53
0
0
07 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Afshin Khadangi
Amir Sartipi
Igor Tchappi
Ramin Bahmani
46
0
0
04 Apr 2025
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
Samuel Tesfazgi
Leonhard Sprandl
Sandra Hirche
AAML
46
0
0
03 Apr 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
52
0
0
28 Mar 2025
Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression
Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression
Hanyue Tu
Siqi Wu
Li Li
Wengang Zhou
Yiming Li
DRL
41
0
0
27 Mar 2025
Learning Straight Flows by Learning Curved Interpolants
Learning Straight Flows by Learning Curved Interpolants
Shiv Shankar
Tomas Geffner
82
0
0
26 Mar 2025
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation
Zhiyao Ren
Yibing Zhan
B. Yu
Dacheng Tao
DiffM
74
0
0
25 Mar 2025
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Yorick Estievenart
Sukanya Patra
Souhaib Ben Taieb
48
0
0
24 Mar 2025
Graphical Transformation Models
Graphical Transformation Models
Matthias Herp
Johannes Brachem
Michael Altenbuchinger
Thomas Kneib
50
0
0
22 Mar 2025
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Anthony Frion
Lucas Drumetz
M. Dalla Mura
Guillaume Tochon
Abdeldjalil Aissa El Bey
AI4TS
51
0
0
17 Mar 2025
DDPM-Polycube: A Denoising Diffusion Probabilistic Model for Polycube-Based Hexahedral Mesh Generation and Volumetric Spline Construction
DDPM-Polycube: A Denoising Diffusion Probabilistic Model for Polycube-Based Hexahedral Mesh Generation and Volumetric Spline Construction
Yuxuan Yu
Yuzhuo Fang
Hua Tong
J. Liu
Y. Zhang
70
0
0
16 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
78
0
0
15 Mar 2025
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
Li Cui
Yang Ding
Richard Hartley
Zirui Xie
L. Kneip
Zhenghua Yu
41
0
0
14 Mar 2025
Noise Synthesis for Low-Light Image Denoising with Diffusion Models
Liying Lu
Raphaël Achddou
Sabine Süsstrunk
DiffM
57
0
0
14 Mar 2025
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
Jiaqi Jin
Siwei Wang
Zhibin Dong
Xihong Yang
Xinwang Liu
En Zhu
Kunlun He
43
0
0
14 Mar 2025
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Yuxiang Fu
Qi Yan
Lele Wang
Ke Li
Renjie Liao
AI4TS
48
1
0
13 Mar 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
Xiaoming Zhao
Alexander Schwing
FaML
63
0
0
13 Mar 2025
FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification
S. Sami
Md Golam Moula Mehedi Hasan
Nasser M. Nasrabadi
Raghuveer Rao
53
0
0
12 Mar 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Kun Zhang
Peng Yun
Jun Cen
Junhao Cai
DiDi Zhu
...
Qifeng Chen
Jia Pan
Wei Zhang
Bo Yang
Hua Chen
59
1
0
05 Mar 2025
Deep Robust Reversible Watermarking
Jiale Chen
Wei Wang
Chongyang Shi
Li Dong
Yuanman Li
Xiping Hu
45
0
0
04 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
85
2
0
04 Mar 2025
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty
Yao Wang
Mingxuan Cui
Arthur Jiang
77
0
0
03 Mar 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson
Van Tran
Max Z. Li
Chuchu Fan
42
0
0
28 Feb 2025
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery
Lianping Yang
Peng Jiao
Jinshan Pan
Hegui Zhu
Su Guo
43
0
0
27 Feb 2025
Diffusion Models for conditional MRI generation
Diffusion Models for conditional MRI generation
Miguel Herencia García del Castillo
Ricardo Moya Garcia
Manuel Jesús Cerezo Mazón
Ekaitz Arriola Garcia
Pablo Menéndez Fernández-Miranda
MedIm
62
0
0
25 Feb 2025
HRR: Hierarchical Retrospection Refinement for Generated Image Detection
HRR: Hierarchical Retrospection Refinement for Generated Image Detection
Peipei Yuan
Zijing Xie
Shuo Ye
Hong Chen
Yulong Wang
DiffM
154
1
0
25 Feb 2025
On Computational Limits of FlowAR Models: Expressivity and Efficiency
On Computational Limits of FlowAR Models: Expressivity and Efficiency
Chengyue Gong
Yekun Ke
Xiaoyu Li
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao Song
74
3
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AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
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Francisco Caetano
Christiaan G. A. Viviers
Lena Filatova
Peter H. N. de With
Fons van der Sommen
AAML
MedIm
44
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23 Feb 2025
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
Hongzhe Cheng
Tianyou Zheng
Tianyi Zhang
Matthew Johnson-Roberson
Weiming Zhi
DiffM
55
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0
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Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems
Xintong Wang
Xiaofei Guan
Ling Guo
Hao Wu
BDL
53
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0
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Robotic Table Tennis: A Case Study into a High Speed Learning System
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David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng Xu
60
13
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Accurate Forgetting for Heterogeneous Federated Continual Learning
Accurate Forgetting for Heterogeneous Federated Continual Learning
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Sen Cui
J.N. Zhang
Kunda Yan
Bo Han
Gang Niu
Lei Fang
Changshui Zhang
Masashi Sugiyama
119
8
0
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Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
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Ruiyao Xu
Kaize Ding
63
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Amortized In-Context Bayesian Posterior Estimation
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P. Jaini
Marcus A. Brubaker
62
1
0
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An inpainting approach to manipulate asymmetry in pre-operative breast images
An inpainting approach to manipulate asymmetry in pre-operative breast images
Helena Montenegro
M. Cardoso
J. Cardoso
MedIm
49
0
0
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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
83
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0
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InfoBridge: Mutual Information estimation via Bridge Matching
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Sergei Kholkin
Ivan Butakov
E. Burnaev
Nikita Gushchin
Alexander Korotin
DiffM
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60
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0
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HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
Armand Foucault
Franck Mamalet
François Malgouyres
MQ
85
0
0
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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
Yueyang Wang
Kejun Tang
Xili Wang
Xiaoliang Wan
Weiqing Ren
Chao Yang
40
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Model Synthesis for Zero-Shot Model Attribution
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang
Juan Cao
Danding Wang
Chang Xu
WIGM
81
4
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Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
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DiffM
59
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