Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving
<|reference_start|>Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving: The field of autonomous driving increasingly demands high-quality annotated video training data. In this paper, we propose Panacea+, a powerful and universally applicable framework for generating video data in driving scenes. Built upon the foundation of our previous work, Panacea, Panacea+ adopts a multi-view appearance noise prior mechanism and a super-resolution module for enhanced consistency and increased resolution. Extensive experiments show that the generated video samples from Panacea+ greatly benefit a wide range of tasks on different datasets, including 3D object tracking, 3D object detection, and lane detection tasks on the nuScenes and Argoverse 2 dataset. These results strongly prove Panacea+ to be a valuable data generation framework for autonomous driving.<|reference_end|>
@article{wen2024panacea+:,
    title={Panacea+: Panoramic and Controllable Video Generation for Autonomous
  Driving},
    author={Yuqing Wen, Yucheng Zhao, Yingfei Liu, Binyuan Huang, Fan Jia, Yanhui
  Wang, Chi Zhang, Tiancai Wang, Xiaoyan Sun, Xiangyu Zhang},
    journal={arXiv preprint arXiv:2408.07605},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.07605},
    primaryClass={cs.CV}
}