Enriching Metaverse with Memories Through Generative AI: A Case Study
The paper introduces MetaMemory, an approach to generate 3D models from either textual descriptions or photographs of objects, offering dual input modes for enhanced representation. MetaMemory's architecture is discussed presenting the tools employed in extracting the object from the image, generating the 3D mesh from texts or images, and visualizing the object reconstruction in an immersive scenario. Afterwards, a case study in which we experienced reconstructing memories of ancient crafts is examined together with the achieved results, by highlighting current limitations and potential applications.
Authors
- Silvia Franchini (ORCID: https://orcid.org/0000-0002-4845-5341)
- Luca Sabatucci (ORCID: https://orcid.org/0000-0003-2852-9355)
- Salvatore Gaglio (ORCID: https://orcid.org/0000-0002-5480-2100)
- Giuseppe Caggianese (ORCID: https://orcid.org/0000-0001-6607-6591)
- Luigi Gallo (ORCID: https://orcid.org/0000-0002-1281-404X)
- Agnese Augello (ORCID: https://orcid.org/0000-0001-6463-9151)
- Maria Rausa
Institutions
- Institute for High Performance Computing and Networking (IT)
- National Research Council (IT)
Publication Details
- Published
- 2024-10-21
- DOI
- https://doi.org/10.1109/metroxraine62247.2024.10796338
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00