AI RESEARCH
SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time
arXiv CS.CV
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ArXi:2507.18713v2 Announce Type: replace High-fidelity sensor simulation of light-based sensors such as cameras and LiDARs is critical for safe and accurate autonomy testing. Neural radiance field (NeRF)-based methods that reconstruct sensor observations via ray-casting of implicit representations have nstrated accurate simulation of driving scenes, but are slow to train and render, hampering scalability. 3D Gaussian Splatting (3DGS) has nstrated faster