AirNeRF: 3D Reconstruction of Human with Drone and NeRF for Future Communication Systems
Alexey Kotcov, Maria Dronova, Vladislav Cheremnykh, Sausar Karaf,, Dzmitry Tsetserukou

TL;DR
AirNeRF introduces a drone-based system utilizing Neural Radiance Fields to rapidly generate realistic 3D human avatars suitable for immersive virtual experiences.
Contribution
The paper presents an innovative drone-assisted NeRF approach for fast, autonomous 3D human reconstruction, enhancing digital content creation workflows.
Findings
High-quality 3D human reconstructions achieved
Effective free-view synthesis for dynamic humans demonstrated
System enables rapid and autonomous data capture
Abstract
In the rapidly evolving landscape of digital content creation, the demand for fast, convenient, and autonomous methods of crafting detailed 3D reconstructions of humans has grown significantly. Addressing this pressing need, our AirNeRF system presents an innovative pathway to the creation of a realistic 3D human avatar. Our approach leverages Neural Radiance Fields (NeRF) with an automated drone-based video capturing method. The acquired data provides a swift and precise way to create high-quality human body reconstructions following several stages of our system. The rigged mesh derived from our system proves to be an excellent foundation for free-view synthesis of dynamic humans, particularly well-suited for the immersive experiences within gaming and virtual reality.
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Taxonomy
TopicsVideo Surveillance and Tracking Methods · Robotics and Automated Systems · UAV Applications and Optimization
