AI-generated faces show lower morphological diversity then real faces do
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F24%3A10482233" target="_blank" >RIV/00216208:11310/24:10482233 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=d38Yb7m4lY" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=d38Yb7m4lY</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18778/1898-6773.87.1.06" target="_blank" >10.18778/1898-6773.87.1.06</a>
Alternative languages
Result language
angličtina
Original language name
AI-generated faces show lower morphological diversity then real faces do
Original language description
Some recent studies suggest that artificial intelligence can create realistic human faces subjectively unrecognizable from faces of real people. We have compared static facial photographs of 197 real men with a sample of 200 male faces generated by artificial intelligence to test whether they converge in basic morphological characteristic such as shape variation and bilateral asymmetry. Both datasets depicted standardized faces of European men with a neutral expression. Then we used geometric morphometrics to investigate their facial morphology and calculate the measures of shape variation and asymmetry. We found that the natural faces of real individuals were more variable in their facial shape than the artificially generated faces were. Moreover, the artificially synthesized faces showed lower levels of facial asymmetry than the control group. Despite the rapid development of generative adversarial networks, natural faces are thus still statistically distinguishable from the artificial ones by objective measurements. We recommend the researchers in face perception, that aim to use artificially generated faces as ecologically valid stimuli, to check whether their stimuli morphological variance is comparable with that of natural faces in a target population.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Result continuities
Project
<a href="/en/project/GA21-10527S" target="_blank" >GA21-10527S: Cross-cultural patterns in facial typicality: disentangling the joint effects of sex-typicality, group-typicality, and psychological stereotypes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Anthropological Review
ISSN
1898-6773
e-ISSN
2083-4594
Volume of the periodical
87
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
11
Pages from-to
81-91
UT code for WoS article
001613905500006
EID of the result in the Scopus database
2-s2.0-85192150927