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Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models

Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

8 March 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
    VLM
    TPM
ArXivPDFHTML

Papers citing "Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models"

50 / 185 papers shown
Title
Noise Optimized Conditional Diffusion for Domain Adaptation
Noise Optimized Conditional Diffusion for Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Luke Chen
DiffM
29
0
0
12 May 2025
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Chuangtao Chen
Qinglin Zhao
Mengchu Zhou
Zhimin He
Haozhen Situ
DiffM
44
0
0
08 May 2025
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
Tien Comlekoglu
J. Q. Toledo-Marín
Tina Comlekoglu
Douglas W. DeSimone
Shayn M. Peirce
Geoffrey C. Fox
J. Glazier
53
0
0
01 May 2025
Simple Visual Artifact Detection in Sora-Generated Videos
Simple Visual Artifact Detection in Sora-Generated Videos
Misora Sugiyama
Hirokatsu Kataoka
EGVM
56
0
0
30 Apr 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
Jan Kapar
Niklas Koenen
Martin Jullum
64
0
0
29 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
59
0
0
22 Apr 2025
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Yimeng Bai
Shunyu Zhang
Y. Zhang
Hu Liu
Wentian Bao
Enyun Yu
Fuli Feng
Wenwu Ou
30
0
0
19 Apr 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Ruijie Wang
Luca Rossetto
Susan Mérillat
Christina Röcke
Mike Martin
Abraham Bernstein
DiffM
MedIm
54
0
0
15 Apr 2025
Computer-Aided Layout Generation for Building Design: A Review
Computer-Aided Layout Generation for Building Design: A Review
Jiachen Liu
Yuan Xue
Haomiao Ni
Rui Yu
Zihan Zhou
S. X. Huang
3DV
AI4CE
72
0
0
13 Apr 2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
MedIm
36
0
0
10 Apr 2025
A friendly introduction to triangular transport
A friendly introduction to triangular transport
M. Ramgraber
Daniel Sharp
M. Le Provost
Youssef Marzouk
55
0
0
27 Mar 2025
Double Blind Imaging with Generative Modeling
Double Blind Imaging with Generative Modeling
Brett Levac
A. Jalal
Kannan Ramchandran
Jonathan I. Tamir
DiffM
MedIm
57
0
0
27 Mar 2025
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
Lu Cheng
Qixiu Zhang
Beibei Xu
Zhiwei Huang
C. Zhang
Yanan Lyu
Fan Zhang
14
0
0
26 Mar 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang
Ping Wang
Jianhua Pei
Jiacheng Wang
Shahen Alexanian
Dusit Niyato
AAML
72
0
0
17 Mar 2025
Noise Synthesis for Low-Light Image Denoising with Diffusion Models
Liying Lu
Raphaël Achddou
Sabine Süsstrunk
DiffM
52
0
0
14 Mar 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Luke Chen
78
0
0
10 Feb 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Christophe Vauthier
Quentin Mérigot
Anna Korba
34
0
0
10 Feb 2025
EDSep: An Effective Diffusion-Based Method for Speech Source Separation
Jinwei Dong
Xinsheng Wang
Qirong Mao
63
0
0
28 Jan 2025
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
Debasmita Pal
Arun Ross
GAN
71
1
0
17 Jan 2025
Dataset Augmentation by Mixing Visual Concepts
Dataset Augmentation by Mixing Visual Concepts
Abdullah Al Rahat
Hemanth Venkateswara
DiffM
68
0
0
19 Dec 2024
Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach
Chiya Zhang
Ting Wang
Rubing Han
Yuanxiang Gong
91
0
0
30 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Burkner
BDL
88
1
0
24 Nov 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated
  Learning: A Vertical Solution
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
Jinbo Wang
Ruijin Wang
Fengli Zhang
FedML
AAML
24
0
0
16 Nov 2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent
  Models in Autonomous Highway Driving Simulations
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer
Reinis Cimurs
Benjamin Coors
Johannes Goth
Sebastian Ziesche
Philipp Geiger
Maximilian Naumann
19
0
0
21 Oct 2024
Boardwalk Empire: How Generative AI is Revolutionizing Economic
  Paradigms
Boardwalk Empire: How Generative AI is Revolutionizing Economic Paradigms
Subramanyam Sahoo
Kamlesh Dutta
28
1
0
19 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion
  Model
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
ZiDong Wang
Zeyu Lu
Di Huang
Cai Zhou
Wanli Ouyang
and Lei Bai
69
3
0
17 Oct 2024
DaDiff: Domain-aware Diffusion Model for Nighttime UAV Tracking
DaDiff: Domain-aware Diffusion Model for Nighttime UAV Tracking
Haobo Zuo
Changhong Fu
Guangze Zheng
L. Yao
Kunhan Lu
Jia-Yu Pan
23
0
0
16 Oct 2024
Diffusion Models Need Visual Priors for Image Generation
Diffusion Models Need Visual Priors for Image Generation
Xiaoyu Yue
Zidong Wang
Zeyu Lu
S. Sun
Meng Wei
Wanli Ouyang
Lei Bai
Luping Zhou
VLM
43
1
0
11 Oct 2024
Image-to-Image Translation Based on Deep Generative Modeling for
  Radiotherapy Synthetic Dataset Creation
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation
Olga Glazunova
Cecile J. A. Wolfs
Frank Verhaegen
MedIm
14
0
0
17 Sep 2024
Incorporating Classifier-Free Guidance in Diffusion Model-Based
  Recommendation
Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation
Noah Buchanan
Susan Gauch
Quan Mai
DiffM
VLM
20
1
0
16 Sep 2024
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner
Rahman Khorramfar
Jennifer Sun
Saurabh Amin
21
0
0
05 Sep 2024
Generative AI in Industrial Machine Vision -- A Review
Generative AI in Industrial Machine Vision -- A Review
H. Zhou
Dominik Wolfschlager
Constantinos Florides
Jonas Werheid
Hannes Behnen
Jan-Henrick Woltersmann
Tiago C. Pinto
Marco Kemmerling
Anas Abdelrazeq
Robert H. Schmitt
21
3
0
20 Aug 2024
Unsupervised Composable Representations for Audio
Unsupervised Composable Representations for Audio
Giovanni Bindi
P. Esling
DiffM
OCL
CoGe
23
0
0
19 Aug 2024
Variational Potential Flow: A Novel Probabilistic Framework for
  Energy-Based Generative Modelling
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
20
0
0
21 Jul 2024
Improving ensemble extreme precipitation forecasts using generative
  artificial intelligence
Improving ensemble extreme precipitation forecasts using generative artificial intelligence
Yingkai Sha
R. Sobash
David John Gagne II
25
0
0
05 Jul 2024
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with
  Dual Conditioning
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
Jiawei Zhan
Jinxiang Lai
Bin-Bin Gao
Jun Liu
Xiaochen Chen
Chengjie Wang
27
1
0
02 Jul 2024
A Pattern Language for Machine Learning Tasks
A Pattern Language for Machine Learning Tasks
Benjamin Rodatz
Ian Fan
Tuomas Laakkonen
Neil John Ortega
Thomas Hoffman
Vincent Wang-Ma'scianica
56
3
0
02 Jul 2024
Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D
  Generative Modeling
Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling
Abril Corona-Figueroa
Hubert P. H. Shum
Chris G. Willcocks
16
0
0
26 Jun 2024
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor
  Segmentation in Data-Scarce Regimes
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes
Aghiles Kebaili
J. Lapuyade-Lahorgue
Pierre Vera
S. Ruan
MedIm
31
0
0
17 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty
  quantification
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Elouan Argouarc'h
François Desbouvries
Eric Barat
Eiji Kawasaki
UQCV
18
1
0
13 Jun 2024
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face
  Regularization
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
Fabio A. Faria
Mateus M. Souza
R. F. D. S. Teixeira
Maurício Pamplona Segundo
34
0
0
30 May 2024
Poisson Variational Autoencoder
Poisson Variational Autoencoder
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
35
2
0
23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models:
  Technologies, Standards and Optimization
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
35
3
0
23 May 2024
Physics-informed generative neural networks for RF propagation
  prediction with application to indoor body perception
Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
Federica Fieramosca
V. Rampa
Michele DÁmico
S. Savazzi
AI4CE
22
1
0
03 May 2024
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic
  Detection under Rebalanced Deepfake Detection Protocol
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol
Wei-Han Wang
Chin-Yuan Yeh
Hsi-Wen Chen
De-Nian Yang
Ming-Syan Chen
25
0
0
01 May 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual
  explanations with adversarial random forests
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
Susanne Dandl
Kristin Blesch
Timo Freiesleben
Gunnar Konig
Jan Kapar
B. Bischl
Marvin N. Wright
AAML
27
5
0
04 Apr 2024
PhonologyBench: Evaluating Phonological Skills of Large Language Models
PhonologyBench: Evaluating Phonological Skills of Large Language Models
Ashima Suvarna
Harshita Khandelwal
Nanyun Peng
LM&MA
29
2
0
03 Apr 2024
Deep Generative Model based Rate-Distortion for Image Downscaling
  Assessment
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
Yuanbang Liang
Bhavesh Garg
Paul L. Rosin
Yipeng Qin
EGVM
37
1
0
22 Mar 2024
Do Generated Data Always Help Contrastive Learning?
Do Generated Data Always Help Contrastive Learning?
Yifei Wang
Jizhe Zhang
Yisen Wang
DiffM
16
22
0
19 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Li-Yuan Tsao
Yi-Chen Lo
Chia-Che Chang
Hao-Wei Chen
Roy Tseng
Chien Feng
Chun-Yi Lee
SupR
14
4
0
16 Mar 2024
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