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Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

7 February 2023
Felix Friedrich
Manuel Brack
Lukas Struppek
Dominik Hintersdorf
P. Schramowski
Sasha Luccioni
Kristian Kersting
ArXivPDFHTML

Papers citing "Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness"

50 / 88 papers shown
Title
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Tian Qiu
Arjun Nichani
Rasta Tadayontahmasebi
Haewon Jeong
29
0
0
05 May 2025
Using LLMs as prompt modifier to avoid biases in AI image generators
Using LLMs as prompt modifier to avoid biases in AI image generators
René Peinl
23
0
0
15 Apr 2025
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models
Muna Numan Said
Aarib Zaidi
Rabia Usman
Sonia Okon
Praneeth Medepalli
Kevin Zhu
Vasu Sharma
Sean O'Brien
22
0
0
05 Apr 2025
Synthetic Video Enhances Physical Fidelity in Video Synthesis
Synthetic Video Enhances Physical Fidelity in Video Synthesis
Qi Zhao
Xingyu Ni
Ziyu Wang
Feng Cheng
Ziyan Yang
Lu Jiang
Bohan Wang
VGen
47
2
0
26 Mar 2025
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
Jun Zhou
J. Li
Zunnan Xu
Hanhui Li
Yiji Cheng
Fa-Ting Hong
Qin Lin
Qinglin Lu
Xiaodan Liang
DiffM
73
1
0
25 Mar 2025
Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization
Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization
Ruichuan An
Kai Zeng
Ming Lu
Sihan Yang
Renrui Zhang
Huitong Ji
Qizhe Zhang
Y. Luo
Hao Liang
Wentao Zhang
65
0
0
17 Mar 2025
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Lin-Chun Huang
Ching Chieh Tsao
Fang Su
J. Chiang
59
0
0
16 Mar 2025
BiasConnect: Investigating Bias Interactions in Text-to-Image Models
Pushkar Shukla
Aditya Chinchure
Emily Diana
A. Tolbert
K. Hosanagar
Vineeth N. Balasubramanian
Leonid Sigal
Matthew A. Turk
48
0
0
12 Mar 2025
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
Mintong Kang
Vinayshekhar Bannihatti Kumar
Shamik Roy
Abhishek Kumar
Sopan Khosla
Balakrishnan Narayanaswamy
Rashmi Gangadharaiah
48
0
0
25 Feb 2025
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinment
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinment
Suchae Jeong
Inseong Choi
Youngsik Yun
Jihie Kim
DiffM
39
2
0
24 Feb 2025
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing
Jinya Sakurai
Issei Sato
76
0
0
06 Feb 2025
Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models
Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models
Yuzhu Cai
Sheng Yin
Yuxi Wei
Chenxin Xu
Weibo Mao
Felix Juefei Xu
Siheng Chen
Yanfeng Wang
EGVM
84
2
0
03 Jan 2025
Image Generation Diversity Issues and How to Tame Them
Image Generation Diversity Issues and How to Tame Them
Mischa Dombrowski
Weitong Zhang
Sarah Cechnicka
Hadrien Reynaud
Bernhard Kainz
72
0
0
25 Nov 2024
AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
Qifan Yu
Wei Chow
Zhongqi Yue
Kaihang Pan
Yang Wu
Xiaoyang Wan
Juncheng Billy Li
Siliang Tang
H. Zhang
Yueting Zhuang
DiffM
103
15
0
24 Nov 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
Christopher T. H. Teo
Milad Abdollahzadeh
Xinda Ma
Ngai-man Cheung
DiffM
23
1
0
24 Oct 2024
Text-to-Image Representativity Fairness Evaluation Framework
Text-to-Image Representativity Fairness Evaluation Framework
Asma Z. Yamani
Malak Baslyman
21
0
0
18 Oct 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image
  Editing
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
June Suk Choi
Kyungmin Lee
Jongheon Jeong
Saining Xie
Jinwoo Shin
Kimin Lee
DiffM
AAML
33
2
0
08 Oct 2024
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization
  Framework for Non-binary Protected Attributes
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes
Manh Khoi Duong
Stefan Conrad
30
4
0
01 Oct 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
Yi Zhang
Zhen Chen
Chih-Hong Cheng
Wenjie Ruan
Xiaowei Huang
Dezong Zhao
David Flynn
Siddartha Khastgir
Xingyu Zhao
MedIm
39
3
0
26 Sep 2024
Dark Miner: Defend against unsafe generation for text-to-image diffusion
  models
Dark Miner: Defend against unsafe generation for text-to-image diffusion models
Zheling Meng
Bo Peng
Xiaochuan Jin
Yue Jiang
Jing Dong
Wei Wang
Tieniu Tan
DiffM
28
1
0
26 Sep 2024
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the
  Shadow of Text-To-Image Model Evolution
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution
Yixin Wu
Yun Shen
Michael Backes
Yang Zhang
42
1
0
30 Aug 2024
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative
  Models
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models
Moreno DÍncà
E. Peruzzo
Massimiliano Mancini
Xingqian Xu
Humphrey Shi
N. Sebe
39
0
0
29 Aug 2024
Self-Improving Diffusion Models with Synthetic Data
Self-Improving Diffusion Models with Synthetic Data
Sina Alemohammad
Ahmed Imtiaz Humayun
S. Agarwal
John Collomosse
Richard G. Baraniuk
28
11
0
29 Aug 2024
Constrained Diffusion Models via Dual Training
Constrained Diffusion Models via Dual Training
Shervin Khalafi
Dongsheng Ding
Alejandro Ribeiro
42
3
0
27 Aug 2024
Prompt and Prejudice
Prompt and Prejudice
Lorenzo Berlincioni
Luca Cultrera
Federico Becattini
Marco Bertini
A. Bimbo
40
0
0
07 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 Naresh Boddeti
37
4
0
05 Aug 2024
FairViT: Fair Vision Transformer via Adaptive Masking
FairViT: Fair Vision Transformer via Adaptive Masking
Bowei Tian
Ruijie Du
Yanning Shen
27
1
0
20 Jul 2024
The Fabrication of Reality and Fantasy: Scene Generation with
  LLM-Assisted Prompt Interpretation
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation
Yi Yao
Chan-Feng Hsu
Jhe-Hao Lin
Hongxia Xie
Terence Lin
Yi-Ning Huang
Hong-Han Shuai
Wen-Huang Cheng
DiffM
29
4
0
17 Jul 2024
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
Haozhe Zhao
Xiaojian Ma
Liang Chen
Shuzheng Si
Rujie Wu
Kaikai An
Peiyu Yu
Minjia Zhang
Qing Li
Baobao Chang
34
42
0
07 Jul 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond
  Single Attributes
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
Yusuke Hirota
Jerone T. A. Andrews
Dora Zhao
Orestis Papakyriakopoulos
Apostolos Modas
Yuta Nakashima
Alice Xiang
41
4
0
04 Jul 2024
The Factuality Tax of Diversity-Intervened Text-to-Image Generation:
  Benchmark and Fact-Augmented Intervention
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
Yixin Wan
Di Wu
Haoran Wang
Kai-Wei Chang
37
3
0
29 Jun 2024
Fairness and Bias in Multimodal AI: A Survey
Fairness and Bias in Multimodal AI: A Survey
Tosin P. Adewumi
Lama Alkhaled
Namrata Gurung
G. V. Boven
Irene Pagliai
55
9
0
27 Jun 2024
MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Bias
MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Bias
Guorun Wang
Lucia Specia
DiffM
MoE
43
0
0
25 Jun 2024
AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
Xinyu Hou
Xiaoming Li
Chen Change Loy
DiffM
38
0
0
18 Jun 2024
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate
  Associative Bias
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias
Salma Abdel Magid
Jui-Hsien Wang
Kushal Kafle
Hanspeter Pfister
41
1
0
17 Jun 2024
Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI
Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI
Carolina Lopez Olmos
A. Neophytou
Sunando Sengupta
Dim P. Papadopoulos
EGVM
42
2
0
10 Jun 2024
Can Prompt Modifiers Control Bias? A Comparative Analysis of
  Text-to-Image Generative Models
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models
P. W. Shin
Jihyun Janice Ahn
Wenpeng Yin
Jack Sampson
Vijaykrishnan Narayanan
30
3
0
09 Jun 2024
Improving Geo-diversity of Generated Images with Contextualized Vendi
  Score Guidance
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
Reyhane Askari Hemmat
Melissa Hall
Alicia Sun
Candace Ross
M. Drozdzal
Adriana Romero Soriano
52
4
0
06 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
44
18
0
30 May 2024
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in
  Text-to-Image Models
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
Hanjun Luo
Ziye Deng
Ruizhe Chen
Zuo-Qiang Liu
EGVM
40
9
0
28 May 2024
Perceptual Fairness in Image Restoration
Perceptual Fairness in Image Restoration
Guy Ohayon
Michael Elad
T. Michaeli
SupR
43
1
0
22 May 2024
Unifying Bias and Unfairness in Information Retrieval: A Survey of
  Challenges and Opportunities with Large Language Models
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models
Sunhao Dai
Chen Xu
Shicheng Xu
Liang Pang
Zhenhua Dong
Jun Xu
48
59
0
17 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Zeyu Yang
Peikun Guo
Khadija Zanna
Akane Sano
Xiaoxue Yang
Akane Sano
DiffM
34
8
0
12 Apr 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
Zhangyang Wang
Humphrey Shi
N. Sebe
53
31
0
11 Apr 2024
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality
  Reductions with Predicate Logic
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic
Brian Montambault
G. Appleby
Jen Rogers
C. Brumar
Mingwei Li
Remco Chang
38
2
0
10 Apr 2024
Would Deep Generative Models Amplify Bias in Future Models?
Would Deep Generative Models Amplify Bias in Future Models?
Tianwei Chen
Yusuke Hirota
Mayu Otani
Noa Garcia
Yuta Nakashima
39
12
0
04 Apr 2024
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
Robik Shrestha
Yang Zou
Qiuyu Chen
Zhiheng Li
Yusheng Xie
Siqi Deng
VLM
65
18
0
29 Mar 2024
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention
  Editing in Text-to-Image Diffusion Models
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models
Hidir Yesiltepe
Kiymet Akdemir
Pinar Yanardag
29
3
0
28 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim
Byeonghu Na
Minsang Park
Joonho Jang
Dongjun Kim
Wanmo Kang
Il-Chul Moon
30
19
0
02 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
50
19
0
28 Feb 2024
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