AI Based 2d to 3d Image Conversion with Web-AR Visualization

• Author(s): Anushree S D; Charvi M; Deepika T V; Kusuma M; Satish .T
• Paper ID: 1712135
• Page: 1123-1127
• Published Date: 17-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025

Abstract

Artificial Intelligence (AI) and Augmented Reality (AR) have transformed how we approach visual computing in education. This research presents a system that turns two-dimensional (2D) educational images into interactive three-dimensional (3D) AR experiences, which can be accessed through web browsers using WebAR technologies like AR.js and Three.js. The method utilizes deep learning models? specifically convolutional neural networks (CNNs) and transformer based depth prediction networks?to extract depth information and create realistic 3D structures. The result is an engaging platform where learners can interact with 3D models displayed in augmented reality, enhancing their educational experience. Experimental results show notable improvements in student engagement, understanding, and information retention. This approach holds great potential for applications in STEM education, digital museums, and architectural visualization, highlighting its scalability and accessibility across various devices.

Keywords

2D to 3D; Artificial intelligence; Augmented Reality

Citations

IRE Journals:
Anushree S D, Charvi M, Deepika T V, Kusuma M, Satish .T "AI Based 2d to 3d Image Conversion with Web-AR Visualization" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1123-1127 https://doi.org/10.64388/IREV9I5-1712135

IEEE:
Anushree S D, Charvi M, Deepika T V, Kusuma M, Satish .T "AI Based 2d to 3d Image Conversion with Web-AR Visualization" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712135