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LOGAN: Latent Optimisation for Generative Adversarial Networks
v1v2 (latest)

LOGAN: Latent Optimisation for Generative Adversarial Networks

2 December 2019
Yongpeng Wu
Jeff Donahue
David Balduzzi
Karen Simonyan
Timothy Lillicrap
    GAN
ArXiv (abs)PDFHTML

Papers citing "LOGAN: Latent Optimisation for Generative Adversarial Networks"

50 / 56 papers shown
Title
The Vendiscope: An Algorithmic Microscope For Data Collections
The Vendiscope: An Algorithmic Microscope For Data Collections
Amey P. Pasarkar
Adji Bousso Dieng
185
5
0
15 Feb 2025
Compress Guidance in Conditional Diffusion Sampling
Compress Guidance in Conditional Diffusion Sampling
Anh-Dung Dinh
Daochang Liu
Chang Xu
88
2
0
20 Aug 2024
Deepfake Detection without Deepfakes: Generalization via Synthetic
  Frequency Patterns Injection
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection
D. Coccomini
R. Caldelli
Claudio Gennaro
Giuseppe Fiameni
Giuseppe Amato
Fabrizio Falchi
163
6
0
20 Mar 2024
Generative AI for Synthetic Data Generation: Methods, Challenges and the
  Future
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Xu Guo
Yiqiang Chen
SyDa
162
51
0
07 Mar 2024
Bring Metric Functions into Diffusion Models
Bring Metric Functions into Diffusion Models
Jie An
Zhengyuan Yang
Jianfeng Wang
Linjie Li
Zicheng Liu
Lijuan Wang
Jiebo Luo
DiffM
170
10
0
04 Jan 2024
Anomaly Score: Evaluating Generative Models and Individual Generated
  Images based on Complexity and Vulnerability
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Ian Ryu
Junghyuk Lee
Jong-Seok Lee
EGVM
253
4
0
17 Dec 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity
  Metrics For Science And Machine Learning
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar
Adji Bousso Dieng
350
20
0
19 Oct 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image
  Synthesis
Adversarial Latent Autoencoder with Self-Attention for Structural Image SynthesisConference on Algebraic Informatics (CAI), 2023
Jiajie Fan
L. Vuaille
Hongya Wang
Thomas Bäck
AI4CE
124
6
0
19 Jul 2023
Conditional Text Image Generation with Diffusion Models
Conditional Text Image Generation with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Yuanzhi Zhu
Zhaohai Li
Tianwei Wang
Mengchao He
Cong Yao
VLMDiffM
252
79
0
19 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair
  treatment of diffusion models
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsNeural Information Processing Systems (NeurIPS), 2023
G. Stein
Jesse C. Cresswell
Rasa Hosseinzadeh
Yi Sui
Brendan Leigh Ross
Valentin Villecroze
Zhaoyan Liu
M. Volkovs
J. E. T. Taylor
Gabriel Loaiza-Ganem
EGVM
346
153
0
07 Jun 2023
NaturalFinger: Generating Natural Fingerprint with Generative
  Adversarial Networks
NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks
Kan Yang
Kunhao Lai
AAML
244
0
0
29 May 2023
Synthesizing PET images from High-field and Ultra-high-field MR images
  Using Joint Diffusion Attention Model
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
Taofeng Xie
Chentao Cao
Zhuoxu Cui
Yu Guo
Caiying Wu
...
Dong Liang
Qiyu Jin
Hongwu Zeng
Guoqing Chen
Haifeng Wang
DiffMMedIm
124
15
0
06 May 2023
Reducing Training Sample Memorization in GANs by Training with
  Memorization Rejection
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection
Andrew Bai
Cho-Jui Hsieh
Wendy Kan
Hsuan-Tien Lin
GAN
193
5
0
21 Oct 2022
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
278
21
0
20 Oct 2022
Exploring Gradient-based Multi-directional Controls in GANs
Exploring Gradient-based Multi-directional Controls in GANsEuropean Conference on Computer Vision (ECCV), 2022
Zikun Chen
R. Jiang
Brendan Duke
Han Zhao
P. Aarabi
114
17
0
01 Sep 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseNeural Information Processing Systems (NeurIPS), 2022
Arpit Bansal
Eitan Borgnia
Hong-Min Chu
Jie S. Li
Hamid Kazemi
Furong Huang
Micah Goldblum
Jonas Geiping
Tom Goldstein
VLMDiffM
160
356
0
19 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw3DVAI4TS
138
1
0
16 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
410
5,117
0
26 Jul 2022
A Novel Unified Conditional Score-based Generative Framework for
  Multi-modal Medical Image Completion
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Xiangxi Meng
Yuning Gu
Yongsheng Pan
Ni-zhuan Wang
Peng Xue
Mengkang Lu
Xuming He
Y. Zhan
Hongtu Zhu
DiffMMedIm
170
33
0
07 Jul 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image SynthesisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
268
87
0
19 Jun 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in
  Diffusion Probabilistic Models
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic ModelsInternational Conference on Learning Representations (ICLR), 2022
Fan Bao
Chongxuan Li
Jun Zhu
Bo Zhang
DiffM
310
387
0
17 Jan 2022
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
Tan M. Dinh
Rang Nguyen
Binh-Son Hua
EGVM
131
21
0
02 Dec 2021
Joint inference and input optimization in equilibrium networks
Joint inference and input optimization in equilibrium networksNeural Information Processing Systems (NeurIPS), 2021
Swaminathan Gurumurthy
Shaojie Bai
Zachary Manchester
J. Zico Kolter
176
20
0
25 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
220
32
0
12 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Rebooting ACGAN: Auxiliary Classifier GANs with Stable TrainingNeural Information Processing Systems (NeurIPS), 2021
Minguk Kang
Woohyeon Shim
Minsu Cho
Jaesik Park
GAN
244
131
0
01 Nov 2021
Generative Flows as a General Purpose Solution for Inverse Problems
Generative Flows as a General Purpose Solution for Inverse Problems
J. Chávez
AI4CE
97
1
0
25 Oct 2021
Bridging the Gap between Label- and Reference-based Synthesis in
  Multi-attribute Image-to-Image Translation
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image TranslationIEEE International Conference on Computer Vision (ICCV), 2021
Qiusheng Huang
Zhilin Zheng
Xueqi Hu
Li Sun
Qingli Li
158
4
0
11 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?International Conference on Learning Representations (ICLR), 2021
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
235
165
0
09 Sep 2021
Unrealistic Feature Suppression for Generative Adversarial Networks
Unrealistic Feature Suppression for Generative Adversarial Networks
Sanghun Kim
Seungkyu Lee
GAN
67
1
0
23 Jul 2021
Conditional GANs with Auxiliary Discriminative Classifier
Conditional GANs with Auxiliary Discriminative ClassifierInternational Conference on Machine Learning (ICML), 2021
Liang Hou
Qi Cao
Huawei Shen
Siyuan Pan
Xiaoshuang Li
Xueqi Cheng
GAN
306
45
0
21 Jul 2021
Class Balancing GAN with a Classifier in the Loop
Class Balancing GAN with a Classifier in the LoopConference on Uncertainty in Artificial Intelligence (UAI), 2021
Harsh Rangwani
Konda Reddy Mopuri
R. Venkatesh Babu
72
20
0
17 Jun 2021
Reverse Engineering of Generative Models: Inferring Model
  Hyperparameters from Generated Images
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Vishal Asnani
Xi Yin
Tal Hassner
Xiaoming Liu
182
79
0
15 Jun 2021
Intrinsic Dimension Estimation Using Wasserstein Distances
Intrinsic Dimension Estimation Using Wasserstein DistancesJournal of machine learning research (JMLR), 2021
Adam Block
Zeyu Jia
Yury Polyanskiy
Alexander Rakhlin
196
23
0
08 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image GenerationJournal of machine learning research (JMLR), 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
454
1,462
0
30 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021
Prafulla Dhariwal
Alex Nichol
1.3K
10,009
0
11 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Damien Dablain
Bartosz Krawczyk
Nitesh Chawla
184
394
0
05 May 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Xu Guo
Boyang Albert Li
Han Yu
Chunyan Miao
AAML
195
18
0
19 Apr 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2021
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
191
24
0
24 Feb 2021
Complex Momentum for Optimization in Games
Complex Momentum for Optimization in GamesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jonathan Lorraine
David Acuna
Paul Vicol
David Duvenaud
153
10
0
16 Feb 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously
  Evolving Zero-Sum Games
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum GamesAAAI Conference on Artificial Intelligence (AAAI), 2020
Stratis Skoulakis
Tanner Fiez
Ryan Sim
Georgios Piliouras
Lillian J. Ratliff
171
17
0
15 Dec 2020
Refining Deep Generative Models via Discriminator Gradient Flow
Refining Deep Generative Models via Discriminator Gradient FlowInternational Conference on Learning Representations (ICLR), 2020
Abdul Fatir Ansari
Ming Liang Ang
Harold Soh
276
50
0
01 Dec 2020
Omni-GAN: On the Secrets of cGANs and Beyond
Omni-GAN: On the Secrets of cGANs and BeyondIEEE International Conference on Computer Vision (ICCV), 2020
P. Zhou
Lingxi Xie
Bingbing Ni
Cong Geng
Qi Tian
GAN
293
22
0
26 Nov 2020
Quantitative analysis of robot gesticulation behavior
Quantitative analysis of robot gesticulation behavior
Unai Zabala
I. Rodriguez
J. M. Martínez-Otzeta
I. Irigoien
E. Lazkano
SLR
73
10
0
22 Oct 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to
  Integrating Information across Layers
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb
Anirudh Goyal
A. Slowik
Michael C. Mozer
Philippe Beaudoin
Yoshua Bengio
199
3
0
15 Oct 2020
MPCC: Matching Priors and Conditionals for Clustering
MPCC: Matching Priors and Conditionals for Clustering
N. Astorga
P. Huijse
P. Protopapas
P. Estévez
67
2
0
21 Aug 2020
Improving the Speed and Quality of GAN by Adversarial Training
Improving the Speed and Quality of GAN by Adversarial Training
Jiachen Zhong
Xuanqing Liu
Cho-Jui Hsieh
GAN
106
18
0
07 Aug 2020
Instance Selection for GANs
Instance Selection for GANsNeural Information Processing Systems (NeurIPS), 2020
Terrance Devries
M. Drozdzal
Graham W. Taylor
203
41
0
30 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets
Lessons Learned from the Training of GANs on Artificial DatasetsIEEE Access (IEEE Access), 2020
Shichang Tang
106
20
0
13 Jul 2020
ContraGAN: Contrastive Learning for Conditional Image Generation
ContraGAN: Contrastive Learning for Conditional Image Generation
Minguk Kang
Jaesik Park
GAN
144
2
0
23 Jun 2020
Group Equivariant Generative Adversarial Networks
Group Equivariant Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2020
Neel Dey
Antong Chen
S. Ghafurian
GAN
224
35
0
04 May 2020
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