Augmented Reality, Virtual Reality, and 3D Reconstruction

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 312

Special Issue Editors


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Guest Editor
CNRS, Archéologie des Amériques (ArchAm), 75004 Paris, France
Interests: virtual reality; 3D computer graphics; 3D modeling C++ data visualization; visualization PHP; databases; python

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Guest Editor

Special Issue Information

Dear Colleagues,

Emerging AI tools that generate 3D models from text and images, while simplifying object texturing, represent a groundbreaking advancement for Augmented Reality (AR), Virtual Reality (VR), and 3D reconstruction across various scientific fields. These technologies enable the modeling of hypothetical scenarios, facilitating visualization and analysis in diverse contexts. In archaeology, for instance, these tools enable the reconstruction of ancient sites from fragments found in the field. By generating 3D models of these fragments, researchers can virtually rebuild complete structures, providing deeper insights into past civilizations. Similarly, for the preservation of cultural heritage, these technologies allow for the creation of digital replicas of artifacts and monuments, safeguarding knowledge against physical degradation and natural disasters. In natural sciences, AI-driven 3D modeling can simulate ecological or geological phenomena. Scientists can create 3D models of landscapes to study the impacts of climate change on various regions. This not only aids research but also enhances the communication of findings to policymakers and the public through immersive AR and VR visualizations. In the medical field, these tools can model organs and bodily systems from textual descriptions and medical images. These models assist in medical training, complex surgical planning, and patient communication. The ability of these technologies to instantly transform textual concepts and images into 3D models also expands the capacities of education, allowing students to explore virtual environments and interact with complex models. Integrating these tools into existing 3D modeling software provides an optimized workflow, enabling users to focus more on research and creativity rather than the technical aspects of modeling. Overall, innovations in the generation of 3D model and texturing using AI promise to transform scientific practices, facilitating the exploration and visualization of hypotheses across a wide range of fields.

Dr. Jean-Baptiste Barreau
Prof. Dr. Juan Ernesto Solanes Galbis
Guest Editors

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Keywords

  • AI-generated 3D models
  • text-to-3D conversion
  • image-based 3D modelling
  • object texturing automation
  • augmented reality (AR)
  • virtual reality (VR)
  • 3D reconstruction
  • scientific visualization

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