3DforXR: an AI-Driven Multi-Input Pipeline for 3D Object Generation in XR Applications

• Published in: 2024 IEEE 3rd International Conference on Intelligent Reality (ICIR) pp. 1 - 4
• Main Authors: Kawka, M. S., Nikopoulos, A., Stentoumis, C., Kalisperakis, I.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05.12.2024
• Subjects: 3D object generation; 3D Reconstruction; AI-based 3D modeling; Complexity theory; Computational efficiency; Computational modeling; Extended reality; Graphical user interfaces; Pipelines; Robustness; Solid modeling; Three-dimensional displays; XR applications

We present a simple and user-friendly platform for generating 3D objects ready for use in eXtended Reality (XR) applications. The platform exploits three types of inputs: multiple images, a single image, and a text prompt. We combine and modify up-to-date artificial intelligence-based algorithms to...