KITTI-360

A two-stage baseline implemented by KITTI-360 authors. Appearance
synthesis is performed by PBNR. Semantic segmentation predictions are
then obtained by applying a pre-trained PSPNet to the synthesized
images.

None

@Article{KPLD21,
author = "Kopanas, Georgios and Philip, Julien and Leimkühler,
Thomas and Drettakis, George",
title = "Point-Based Neural Rendering with Per-View
Optimization",
journal = "Computer Graphics Forum (Proceedings of the
Eurographics Symposium on Rendering)",
number = "4",
volume = "40",
month = "June",
year = "2021",
url = "http://www-sop.inria.fr/reves/Basilic/2021/KPLD21"},
@InProceedings{Zhao2017CVPR,
author = {Hengshuang Zhao and Jianping Shi
and Xiaojuan Qi and Xiaogang Wang and Jiaya Jia},
title = {Pyramid Scene Parsing Network},
booktitle = {CVPR},
year = {2017},
}