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 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.

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Publication Details

Published
2024-12-05
DOI
https://doi.org/10.1109/icir64558.2024.10976750
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

A. Nikopoulos, Christos Stentoumis, I. Kalisperakis, Michal Kawka
Augmented Reality Applications
article

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

A. Nikopoulos, Christos Stentoumis, I. Kalisperakis, Michal Kawka
article en

Abstract

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.

European Commission
Openalex Percentile: Top 70%
Augmented Reality Applications
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