ABSTRACT. This article advances existing literature concerning 3D virtual modeling and artificial intelligence clothing try-on technologies, hyper-realistic augmented reality-powered makeup filters, and cognitive and affective algorithms for beauty ideal cultural constructions. The contribution to the literature on thinness ideal internalization, negative mood and self-esteem, and self-presentation perceptions and behaviors is by showing that beauty filters and facial recognition technologies modify facial features, simulate makeup, balance complexion, and smooth skin, ensuring natural-looking results and appearance optimization, and thus enhancing visual appeal. Machine learning classifiers, reference management software, and study screening tools leveraged include AMSTAR, DistillerSR, Eppi-Reviewer, METAGEAR package for R, PICO Portal, and Systematic Review Accelerator. The case studies cover Peachy, Photoshop Express, BIGVU beauty face filter app, YouCam Makeup AI-powered face editing and virtual makeup tools, and AirBrush AI Face Retouching and advanced 3D tools.

Keywords: 3D virtual modeling; artificial intelligence clothing try-on; hyper-realistic augmented reality-powered makeup; cognition; affectiom; beauty ideal cultural construction

How to cite: Popescu, G. H., Iacob, S. E., Bran, A. C., Stana, C., and Radu, M. (2025). “3D Virtual Modeling and Artificial Intelligence Clothing Try-on Technologies, Hyper-Realistic Augmented Reality-powered Makeup Filters, and Cognitive and Affective Algorithms for Beauty Ideal Cultural Constructions,” Journal of Research in Gender Studies 15(1): 33–40. doi: 10.22381/JRGS15120253.

Received 9 February 2025 • Received in revised form 22 July 2025
Accepted 23 July 2025 • Available online 28 July 2025