mlsanityData to 7 Oct 2026

Modern Augmented Reality: Applications, Trends, and Future Directions

arXiv 2202.09450 ↗First posted 18 Feb 2022cs.CVcited by 3

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Abstract (arXiv)

Augmented reality (AR) is one of the relatively old, yet trending areas in the intersection of computer vision and computer graphics with numerous applications in several areas, from gaming and entertainment, to education and healthcare. Although it has been around for nearly fifty years, it has seen a lot of interest by the research community in the recent years, mainly because of the huge success of deep learning models for various computer vision and AR applications, which made creating new generations of AR technologies possible. This work tries to provide an overview of modern augmented reality, from both application-level and technical perspective. We first give an overview of main AR applications, grouped into more than ten categories. We then give an overview of around 100 recent promising machine learning based works developed for AR systems, such as deep learning works for AR shopping (clothing, makeup), AR based image filters (such as Snapchat's lenses), AR animations, and more. In the end we discuss about some of the current challenges in AR domain, and the future directions in this area.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 74 of its 101 references that are in the map. First posted on arXiv 18 Feb 2022.

Builds on

74 of 101 references.

References · 74

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38 more
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50 most cited of 74 All 74 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 1.

3 papers.

  1. 2022Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Priorcited by 0
  2. 2025iOSPointMapper: RealTime Pedestrian and Accessibility Mapping with Mobile AIcited by 0
  3. 2026Revitalizing Public Urban Places through Cultural and Political Memory: A Technological Approach with LLMs and Augmented Realitycited by 0