This is the project page for the CVPR 2018 Spotlight paper "Geometry-Aware Learning of Maps for Camera Localization". Our algorithm MapNet allows you to estimate the pose of a camera in a known scene, from a sequence of images, in a completely data-driven manner. More importantly, it enables you to use unsupervised videos from that scene to continue improving the deep network.
Paper | Supplementary Material
Project Page at Nvidia | Github | Trained PyTorch Models
If you find this code useful for your research, please cite our paper
@inproceedings{mapnet2018,
title={Geometry-Aware Learning of Maps for Camera Localization},
author={Samarth Brahmbhatt and Jinwei Gu and Kihwan Kim and James Hays and Jan Kautz},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2018}
}
