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Ground Truth semantic segmentation maps are not available for the datasets. We used RefineNet trained on CityScapes for generating semantic segmentation maps and used them as Gound Truth segmaps in our experiments. Please cite their papers if you use the dataset.
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Ground Truth semantic segmentation maps are not available for the datasets. We used RefineNet trained on CityScapes for generating semantic segmentation maps and used them as Gound Truth segmaps in our experiments. Please cite their papers if you use the dataset.
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Link to the segmentation maps (for Dayton Dataset) used in training/testing is available here[SegMaps](https://github.com/kregmi/cross-view-image-synthesis/issues/16#issuecomment-453538658).
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Train/Test splits for Dayton Dataset can be downloaded from here [Dayton](https://github.com/kregmi/cross-view-image-synthesis/tree/master/datasets/dayton_split).
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Train/Test splits for Dayton dataset can be downloaded from here [Dayton](https://github.com/kregmi/cross-view-image-synthesis/tree/master/datasets/dayton_split).
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### Generating Pairs
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Refer to [pix2pix](https://github.com/phillipi/pix2pix/blob/master/scripts/combine_A_and_B.py) for steps and code to generate pairs of images required for training/testing.
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