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.
Authors
- A. Nikopoulos
- Christos Stentoumis (ORCID: https://orcid.org/0000-0001-9972-1761)
- I. Kalisperakis
- Michal Kawka (ORCID: https://orcid.org/0000-0002-5826-8355)
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
Funders
- European Commission