Flying in Clutter on Monocular RGB by Learning in 3D Radiance Fields with Domain Adaptation
Published:Dec 19, 2025 08:44
•1 min read
•ArXiv
Analysis
This article describes a research paper focusing on a specific problem in computer vision and robotics: enabling autonomous navigation in complex, cluttered environments using only monocular RGB images. The approach involves learning 3D representations (radiance fields) and adapting them to different visual domains. The title suggests a focus on practical application (flying) and the challenges of real-world environments (clutter). The use of 'domain adaptation' indicates an attempt to generalize the learned models across different visual conditions.
Key Takeaways
Reference
“”