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LightSim: An autonomous driving lighting simulation platform launched at NeurIPS 2023 to achieve a realistic, controllable and scalable simulation experience
LightSim: An autonomous driving lighting simulation platform launched at NeurIPS 2023 to achieve a realistic, controllable and scalable simulation experience
Recently, researchers from Waabi AI, University of Toronto, University of Waterloo and MIT proposed a new autonomous driving lighting simulation platform LightSim at NeurIPS 2023. Researchers have proposed methods to generate paired illumination training data from real data, solving the problems of missing data and model migration loss. LightSim uses neural radiation fields (NeRF) and physics-based deep networks to render vehicle driving videos, achieving lighting simulation of dynamic scenes on large-scale real data for the first time. 

Project website: https://waabi.ai/lightsim Paper link: https://openreview.net/pdf?id=mcx8IGneYw





LightSim can perform batch relighting of scenes, generating new time-consistent and 3D-aware lighting changes of the same scene from estimated and real HDR environment maps. 
LightSim can also perform shadow editing in batches. 


Another example is shown in the video below, where a new set of vehicles has been added after a new road obstacle has been inserted. Using simulated lighting built with LightSim, newly added vehicles can be seamlessly integrated into the scene. 
The above is the detailed content of LightSim: An autonomous driving lighting simulation platform launched at NeurIPS 2023 to achieve a realistic, controllable and scalable simulation experience. For more information, please follow other related articles on the PHP Chinese website!
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