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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

30 August 2024
Yixin Wu
Yun Shen
Michael Backes
Yang Zhang
ArXivPDFHTML

Papers citing "Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution"

4 / 4 papers shown
Title
On the detection of synthetic images generated by diffusion models
On the detection of synthetic images generated by diffusion models
Riccardo Corvi
D. Cozzolino
Giada Zingarini
Giovanni Poggi
Koki Nagano
L. Verdoliva
128
209
0
01 Nov 2022
Red-Teaming the Stable Diffusion Safety Filter
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando
Daniel Paleka
David Lindner
Lennard Heim
Florian Tramèr
DiffM
122
179
0
03 Oct 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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