ABSTRACT. In this article, previous research findings were cumulated, indicating that 3D scene generation techniques and augmented reality try-on apps assist societal beauty ideal internalization, social media photo manipulation, and face and body emotion recognition processes. Throughout June 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “unrealistic beauty images,” “body image concerns,” and “physical appearance and attractiveness,” + “augmented reality face filters,” and “3D digital garment photorealistic simulations.” As research published between 2019 and 2022 was inspected, only 176 articles satisfied the eligibility criteria, and 26 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, ROBIS, and SRDR.

Keywords: augmented reality face filter; 3D digital garment photorealistic simulation; unrealistic beauty image; body image concern

How to cite: Oláh, J., Popp, J., Harba, J.-N., Adilbekova, K., and Niță, M. I. (2023). “Augmented Reality Face Filters and 3D Digital Garment Photorealistic Simulations for Unrealistic Beauty Images, Body Image Concerns, and Physical Appearance and Attractiveness,” Journal of Research in Gender Studies 13(2): 84–98. doi: 10.22381/JRGS13220236.

Received 29 July 2023 • Received in revised form 27 December 2023
Accepted 28 December 2023 • Available online 30 December 2023