AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The results suggest that open-source generative AI can support low-cost asset creation for cultural heritage VR, although post-processing, model-detail consistency, and broader participant validation remain necessary.
The metaverse has recently gained traction as a persistent, realistic, and interconnected virtual-physical ecosystem with high levels of realism and immersivity. According to such a definition, it fundamentally relies on the generation of high-fidelity 3D scenes. Manual construction of these scenes remains a time-consu...
Multi-level modeling (MLM) approaches and frameworks are reaching a stage where research and development of both conceptual frameworks and tooling would greatly benefit from feedback and experience from real-world use cases and industrial applications. MLM-based solutions could address the ongoing challenge of maintain...
Artificial intelligence-driven 3D reconstruction offers new opportunities for documenting cultural heritage under limited and low-cost image-acquisition conditions. This study compares Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and SAM 3D for reconstructing Saint Michael Church in Trabzon, Türkiye, us...
Level of Detail 3 (LOD3) has been part of the CityGML standard for nearly two decades, yet it has never become a routine product in operational 3D city model production. While LOD2 building models are now widely generated and maintained by mapping agencies, LOD3 remains largely limited to research prototypes and pilot...
To address the inefficiencies, high costs, and limitations in spatial rationality and automation prevalent in traditional and existing intelligent interior design approaches, this study proposes and implements an end-to-end intelligent interior design system. The system integrates a deep convolutional Generative Advers...
A human-in-the-loop GenAI-assisted framework for producing immersive 3D visualization prototypes rather than historically verified reconstructions is proposed, which integrates multi-view image generation, knowledge-informed review, single-image-to-3D generation, topology inspection, and perceptual calibration.
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