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Improving the Fairness of Deep Generative Models without Retraining
v1v2 (latest)

Improving the Fairness of Deep Generative Models without Retraining

9 December 2020
Shuhan Tan
Yujun Shen
Bolei Zhou
ArXiv (abs)PDFHTML

Papers citing "Improving the Fairness of Deep Generative Models without Retraining"

43 / 43 papers shown
Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model
Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model
Fang Chen
Alex Villa
Gongbo Liang
Xiaoyi Lu
Meng Tang
204
1
0
11 Jul 2025
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective ApproachIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025
Sophia J. Abraham
Jonathan D. Hauenstein
Walter J. Scheirer
CVBM
303
0
0
06 Feb 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness SafeguardsInternational Conference on Learning Representations (ICLR), 2024
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
393
1
0
03 Oct 2024
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative
  Models
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Moreno DÍncà
E. Peruzzo
Massimiliano Mancini
Xingqian Xu
Humphrey Shi
Andrii Zadaianchuk
333
2
0
29 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian
Ruozhen He
Yi Li
Guha Balakrishnan
Nuno Vasconcelos
Vicente Ordonez
Vishnu Boddeti
384
13
0
05 Aug 2024
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation
Shufan Li
Harkanwar Singh
Aditya Grover
EGVM
369
4
0
28 Jun 2024
The Benefits and Risks of Transductive Approaches for AI Fairness
The Benefits and Risks of Transductive Approaches for AI Fairness
Muhammed Razzak
Andreas Kirsch
Yarin Gal
236
0
0
17 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio DoppelgängersInternational Conference on Learning Representations (ICLR), 2024
Manuel Cherep
Nikhil Singh
418
1
0
09 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Justin Deschenaux
Igor Krawczuk
Grigorios G. Chrysos
Volkan Cevher
DiffM
430
5
0
29 May 2024
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
Moreno DÍncà
E. Peruzzo
Massimiliano Mancini
Dejia Xu
Vidit Goel
Xingqian Xu
Zinan Lin
Humphrey Shi
Andrii Zadaianchuk
310
76
0
11 Apr 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?International Conference on Learning Representations (ICLR), 2024
Ibrahim Alabdulmohsin
Xiao Wang
Andreas Steiner
Priya Goyal
Alexander DÁmour
Xiao-Qi Zhai
257
31
0
07 Mar 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar
Abhijnya Bhat
Abhipsa Basu
Saswat Mallick
Jogendra Nath Kundu
R. V. Babu
697
45
0
28 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Divin Yan
Lu Qi
Vincent Tao Hu
Ming-Hsuan Yang
Meng Tang
246
11
0
16 Feb 2024
Benchmarking the Fairness of Image Upsampling Methods
Benchmarking the Fairness of Image Upsampling MethodsConference on Fairness, Accountability and Transparency (FAccT), 2024
M. Laszkiewicz
Imant Daunhawer
Julia E. Vogt
Asja Fischer
Johannes Lederer
EGVM
395
5
0
24 Jan 2024
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation
  Models
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models
Basudha Pal
Arunkumar Kannan
Ram Prabhakar Kathirvel
Alice J. O'Toole
Rama Chellappa
DiffM
289
5
0
21 Dec 2023
On Measuring Fairness in Generative Models
On Measuring Fairness in Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Christopher T. H. Teo
Milad Abdollahzadeh
Ngai-Man Cheung
EGVM
217
8
0
30 Oct 2023
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image GenerationIEEE International Conference on Computer Vision (ICCV), 2023
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
310
83
0
11 Sep 2023
Fair GANs through model rebalancing for extremely imbalanced class
  distributions
Fair GANs through model rebalancing for extremely imbalanced class distributions
Anubhav Jain
Nasir Memon
Julian Togelius
GAN
240
1
0
16 Aug 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative
  Interpolation
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Haoyue Bai
Ceyuan Yang
Yinghao Xu
Shueng-Han Gary Chan
Bolei Zhou
OODD
198
4
0
23 Jul 2023
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image
  Generation
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jialu Wang
Xinyue Liu
Zonglin Di
Yongxu Liu
Xin Eric Wang
229
49
0
01 Jun 2023
Disentangling and Operationalizing AI Fairness at LinkedIn
Disentangling and Operationalizing AI Fairness at LinkedInConference on Fairness, Accountability and Transparency (FAccT), 2023
Joaquin Quiñonero Candela
Yuwen Wu
Brian Hsu
Sakshi Jain
Jennifer Ramos
Jon Adams
R. Hallman
Kinjal Basu
279
12
0
30 May 2023
Analyzing Bias in Diffusion-based Face Generation Models
Analyzing Bias in Diffusion-based Face Generation Models
Malsha V. Perera
Vishal M. Patel
DiffM
200
56
0
10 May 2023
Racial Bias within Face Recognition: A Survey
Racial Bias within Face Recognition: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Seyma Yucer
Furkan Tektas
Noura Al Moubayed
T. Breckon
FaML
265
28
0
01 May 2023
Uncovering Bias in Face Generation Models
Uncovering Bias in Face Generation Models
Cristian Muñoz
Sara Zannone
U. Mohammed
Adriano Soares Koshiyama
CVBM
283
9
0
22 Feb 2023
Breaking the Spurious Causality of Conditional Generation via Fairness
  Intervention with Corrective Sampling
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
J. Nam
Sangwoo Mo
Jaeho Lee
Jinwoo Shin
360
7
0
05 Dec 2022
Fair Generative Models via Transfer Learning
Fair Generative Models via Transfer LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Christopher T. H. Teo
Milad Abdollahzadeh
Ngai-Man Cheung
247
34
0
02 Dec 2022
Taming Normalizing Flows
Taming Normalizing FlowsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Shimon Malnick
S. Avidan
Ohad Fried
TPMDiffM
374
2
0
29 Nov 2022
Fairness in generative modeling
Fairness in generative modeling
M. Zameshina
O. Teytaud
F. Teytaud
Vlad Hosu
N. Carraz
Laurent Najman
Markus Wagner
SyDa
188
3
0
06 Oct 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained
  Generative Models
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative ModelsNeural Information Processing Systems (NeurIPS), 2022
Chen Henry Wu
Saman Motamed
Shaunak Srivastava
Fernando de la Torre
VLMDiffM
342
40
0
14 Sep 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisAAAI Conference on Artificial Intelligence (AAAI), 2022
Wanshu Fan
Yen-Chun Chen
Dongdong Chen
Yu Cheng
Lu Yuan
Yu-Chiang Frank Wang
DiffM
343
117
0
29 Aug 2022
Discovering Transferable Forensic Features for CNN-generated Images
  Detection
Discovering Transferable Forensic Features for CNN-generated Images DetectionEuropean Conference on Computer Vision (ECCV), 2022
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Alexander Binder
Ngai-Man Cheung
AAML
274
37
0
24 Aug 2022
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient
  Clipping
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping
Patrik Kenfack
Kamil Sabbagh
Adín Ramirez Rivera
A. Khan
230
20
0
13 Jul 2022
Data Redaction from Pre-trained GANs
Data Redaction from Pre-trained GANs
Zhifeng Kong
Kamalika Chaudhuri
397
18
0
29 Jun 2022
Region-Based Semantic Factorization in GANs
Region-Based Semantic Factorization in GANsInternational Conference on Machine Learning (ICML), 2022
Jiapeng Zhu
Yujun Shen
Yinghao Xu
Deli Zhao
Qifeng Chen
328
41
0
19 Feb 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
FairStyle: Debiasing StyleGAN2 with Style Channel ManipulationsEuropean Conference on Computer Vision (ECCV), 2022
Cemre Karakas
Alara Dirik
Eylül Yalçınkaya
Pinar Yanardag
198
30
0
13 Feb 2022
Self-Conditioned Generative Adversarial Networks for Image Editing
Self-Conditioned Generative Adversarial Networks for Image Editing
Yunzhe Liu
Rinon Gal
Amit H. Bermano
Baoquan Chen
Daniel Cohen-Or
GAN
221
7
0
08 Feb 2022
Anatomizing Bias in Facial Analysis
Anatomizing Bias in Facial Analysis
Richa Singh
P. Majumdar
S. Mittal
Mayank Vatsa
CVBM
193
28
0
13 Dec 2021
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without
  Retraining
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
OOD
479
34
0
15 Oct 2021
Measuring Fairness in Generative Models
Measuring Fairness in Generative Models
Christopher T. H. Teo
Ngai-Man Cheung
SyDa
226
39
0
16 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
Fairness for Image Generation with Uncertain Sensitive Attributes
A. Jalal
Sushrut Karmalkar
Jessica Hoffmann
A. Dimakis
Eric Price
DiffM
284
42
0
23 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning
Generative Models as a Data Source for Multiview Representation LearningInternational Conference on Learning Representations (ICLR), 2021
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
376
146
0
09 Jun 2021
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets
Vaikkunth Mugunthan
V. Gokul
Lalana Kagal
Shlomo Dubnov
FedML
238
1
0
17 Mar 2021
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsInternational Conference on Machine Learning (ICML), 2021
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
406
99
0
15 Feb 2021
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