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More Real than Real: A Study on Human Visual Perception of Synthetic
  Faces
v1v2 (latest)

More Real than Real: A Study on Human Visual Perception of Synthetic Faces

IEEE Signal Processing Magazine (IEEE SPM), 2021
14 June 2021
Federica Lago
Cecilia Pasquini
Rainer Böhme
Hélene Dumont
V. Goffaux
G. Boato
    CVBM
ArXiv (abs)PDFHTML

Papers citing "More Real than Real: A Study on Human Visual Perception of Synthetic Faces"

18 / 18 papers shown
Advance Fake Video Detection via Vision Transformers
Advance Fake Video Detection via Vision TransformersInformation Hiding and Multimedia Security Workshop (IH&MMSec), 2025
Joy Battocchio
S. Dell’Anna
Andrea Montibeller
Giulia Boato
ViTVGen
281
1
0
29 Apr 2025
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
S. Dell’Anna
Andrea Montibeller
Giulia Boato
256
3
0
29 Apr 2025
Synthetic Art Generation and DeepFake Detection A Study on Jamini Roy Inspired Dataset
Synthetic Art Generation and DeepFake Detection A Study on Jamini Roy Inspired Dataset
Kushal Agrawal
Romi Banerjee
170
2
0
29 Mar 2025
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images
Characterizing Photorealism and Artifacts in Diffusion Model-Generated ImagesInternational Conference on Human Factors in Computing Systems (CHI), 2025
Negar Kamali
Karyn Nakamura
Aakriti Kumar
Angelos Chatzimparmpas
Jessica Hullman
Matthew Groh
346
5
0
17 Feb 2025
Analysis of Human Perception in Distinguishing Real and AI-Generated
  Faces: An Eye-Tracking Based Study
Analysis of Human Perception in Distinguishing Real and AI-Generated Faces: An Eye-Tracking Based StudyIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2024
Jin Huang
Subhadra Gopalakrishnan
Trisha Mittal
Jake Zuena
Jaclyn Pytlarz
CVBM
191
4
0
23 Sep 2024
AI-Generated Faces in the Real World: A Large-Scale Case Study of
  Twitter Profile Images
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
Jonas Ricker
Dennis Assenmacher
Thorsten Holz
Asja Fischer
Erwin Quiring
287
15
0
22 Apr 2024
Characteristics and prevalence of fake social media profiles with
  AI-generated faces
Characteristics and prevalence of fake social media profiles with AI-generated faces
Kai-Cheng Yang
Danishjeet Singh
Filippo Menczer
264
24
0
05 Jan 2024
A Representative Study on Human Detection of Artificially Generated
  Media Across Countries
A Representative Study on Human Detection of Artificially Generated Media Across Countries
Joel Frank
Franziska Herbert
Jonas Ricker
Lea Schonherr
Thorsten Eisenhofer
Asja Fischer
Markus Dürmuth
Thorsten Holz
254
29
0
10 Dec 2023
Single-Model Attribution of Generative Models Through Final-Layer
  Inversion
Single-Model Attribution of Generative Models Through Final-Layer InversionInternational Conference on Machine Learning (ICML), 2023
M. Laszkiewicz
Jonas Ricker
Johannes Lederer
Asja Fischer
416
7
0
26 May 2023
Intriguing properties of synthetic images: from generative adversarial
  networks to diffusion models
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Riccardo Corvi
D. Cozzolino
Giovanni Poggi
Koki Nagano
L. Verdoliva
DiffM
333
145
0
13 Apr 2023
Artifact magnification on deepfake videos increases human detection and
  subjective confidence
Artifact magnification on deepfake videos increases human detection and subjective confidenceJournal of Vision (JOV), 2023
Emilie Josephs
Camilo Luciano Fosco
A. Oliva
236
13
0
10 Apr 2023
ForamViT-GAN: Exploring New Paradigms in Deep Learning for
  Micropaleontological Image Analysis
ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image AnalysisIEEE Access (IEEE Access), 2023
Ivan Ferreira-Chacua
A. Koeshidayatullah
184
9
0
09 Apr 2023
Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances
Sequential training of GANs against GAN-classifiers reveals correlated "knowledge gaps" present among independently trained GAN instancesComputer Vision and Pattern Recognition (CVPR), 2023
Arkanath Pathak
Nick Dufour
136
1
0
27 Mar 2023
PetroGAN: A novel GAN-based approach to generate realistic, label-free
  petrographic datasets
PetroGAN: A novel GAN-based approach to generate realistic, label-free petrographic datasets
I. Ferreira
L. Ochoa
A. Koeshidayatullah
GAN
134
1
0
07 Apr 2022
Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs
Detecting GAN-generated Images by Orthogonal Training of Multiple CNNsInternational Conference on Information Photonics (ICIP), 2022
S. Mandelli
Nicolo Bonettini
Paolo Bestagini
Stefano Tubaro
191
74
0
04 Mar 2022
GAN-generated Faces Detection: A Survey and New Perspectives
GAN-generated Faces Detection: A Survey and New PerspectivesEuropean Conference on Artificial Intelligence (ECAI), 2022
Xin Wang
Hui Guo
Shu Hu
Ming-Ching Chang
Siwei Lyu
CVBM
368
81
0
15 Feb 2022
Towards Universal GAN Image Detection
Towards Universal GAN Image DetectionVisual Communications and Image Processing (VCIP), 2021
D. Cozzolino
Diego Gragnaniello
Giovanni Poggi
L. Verdoliva
305
33
0
23 Dec 2021
A Study of the Human Perception of Synthetic Faces
A Study of the Human Perception of Synthetic Faces
Bingyu Shen
Brandon RichardWebster
A. O’toole
Kevin W. Bowyer
Walter J. Scheirer
CVBM
243
38
0
08 Nov 2021
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