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SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end
  Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving

SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving

25 March 2024
Yiming Xie
Henglu Wei
Zhenyi Liu
Xiaoyu Wang
Xiangyang Ji
ArXivPDFHTML

Papers citing "SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving"

1 / 1 papers shown
Title
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
Jiacheng Zuo
Haibo Hu
Zikang Zhou
Yufei Cui
Ziquan Liu
Jianping Wang
Nan Guan
Jin Wang
Chun Jason Xue
60
0
0
21 Jan 2025
1