9 DAILY CVPR Thursday scene. Unlike traditional NeRF methods, which often require long training times, dense semantic supervision, and lack generalizability, NeuRAD is designed to be robust and efficient for dynamic autonomous driving (AD) data. “The special part is that we emphasize the issues we have in our AD data,” Georg tells us. “Compared to your normal NeRF, our scenes are huge. We drive for hundreds of meters, so we have to handle these multiple scales. And we drive quite fast.” The team builds on the latest advancements in neural rendering technology. It adds some special tricks for AD, including very accurate sensor modeling and clever speedup techniques to make it easy to accelerate on the GPU. NEURAD
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