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

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Bibliographic Details
Published in2024 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
LanguageEnglish
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
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Summary: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 develop a robust pipeline for single-object 3D reconstruction. We also support a post-processing pipeline for editing the mesh and the texture. Non-expert users have tested our work-in-progress platform and provided positive feedback regarding its robustness and effectiveness.
DOI:10.1109/ICIR64558.2024.10976750