DGC-Net: Dense Geometric Correspondence Network

This is a PyTorch implementation of our work "DGC-Net: Dense Geometric Correspondence Network"

Performance on HPatches dataset

Method / HPatches ID	Viewpoint 1	Viewpoint 2	Viewpoint 3	Viewpoint 4	Viewpoint 5
PWC-Net	4.43	11.44	15.47	20.17	28.30
GM best model	9.59	18.55	21.15	27.83	35.19
DGC-Net (paper)	1.55	5.53	8.98	11.66	16.70
DGCM-Net (paper)	2.97	6.85	9.95	12.87	19.13
DGC-Net (repo)	1.74	5.88	9.07	12.14	16.50
DGCM-Net (repo)	2.33	5.62	9.55	11.59	16.48

Note: There is a difference in numbers presented in the original paper and obtained by the models of this repo.

How to cite

If you use this software in your own research, please cite our publication:

@inproceedings{Melekhov+Tiulpin+Sattler+Pollefeys+Rahtu+Kannala:2018,
      title = {{DGC-Net}: Dense geometric correspondence network},
      author = {Melekhov, Iaroslav and Tiulpin, Aleksei and 
               Sattler, Torsten, and 
               Pollefeys, Marc and 
               Rahtu, Esa and Kannala, Juho},
       year = {2019},
       booktitle = {Proceedings of the IEEE Winter Conference on 
                    Applications of Computer Vision (WACV)}
}