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Analyzing Bias in Diffusion-based Face Generation Models

Analyzing Bias in Diffusion-based Face Generation Models

10 May 2023
Malsha V. Perera
Vishal M. Patel
    DiffM
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Papers citing "Analyzing Bias in Diffusion-based Face Generation Models"

7 / 7 papers shown
Title
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
43
18
0
28 Feb 2024
Synthetic Data for Face Recognition: Current State and Future Prospects
Synthetic Data for Face Recognition: Current State and Future Prospects
Fadi Boutros
Vitomir Štruc
Julian Fierrez
Naser Damer
19
75
0
01 May 2023
Social Biases through the Text-to-Image Generation Lens
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik
Besmira Nushi
91
113
0
30 Mar 2023
Studying Bias in GANs through the Lens of Race
Studying Bias in GANs through the Lens of Race
V. Maluleke
Neerja Thakkar
Tim Brooks
Ethan Weber
Trevor Darrell
Alexei A. Efros
Angjoo Kanazawa
Devin Guillory
32
34
0
06 Sep 2022
When do GANs replicate? On the choice of dataset size
When do GANs replicate? On the choice of dataset size
Qianli Feng
Chen Guo
Fabian Benitez-Quiroz
Aleix M. Martinez
136
54
0
23 Feb 2022
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
175
59
0
09 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
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