AI RESEARCH
Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction
arXiv CS.LG
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ArXi:2604.11098v1 Announce Type: cross Large-scale three-dimensional (3D) scene reconstruction in low-altitude intelligent networks (LAIN) demands highly efficient wireless image transmission. However, existing schemes struggle to balance severe pilot overhead with the transmission accuracy required to maintain reconstruction fidelity. To strike a balance between efficiency and reliability, this paper proposes a novel deep learning-based end-to-end (E2E) transceiver design that integrates 3D Gaussian Splatting (3DGS) directly into the