Experiments

• » Style transfer on AR images
• » Summer to Winter Yosemite. Train Set.
• » Summer to Winter Yosemite. Test Set.
• » Summer to Winter Yosemite.
• » Monet to Photo. Train Set.
• » Monet to Photo. Collection of good results on train set.
• » Monet to Photo. Test Set.
• » Apple <-> Orange. Train Set.
• » Apple <-> Orange. Test Set.
• » Summer <-> Winter Yosemite
• » Style Transfer
• » Style Transfer result on the training set
• » Style Transfer result on the test set
• » Style Transfer
• » Style Transfer result on Alyosha's photos
• » Reconstructed Images from various datasets
• » Movie still photos with Renoir style
• » Monet to photo (Train Set)
• » Monet to photo (Test Set)
• » Monet to photo (Good Results)
• » Effect of adding the identity mapping loss on Monet to Photo
• » Monet to photo (Good Results on the train set)
• » Monet to photo (Good Results on the train set)
• » Comparison of different methods on the Google Maps/Aerial Photos dataset
• » Change of Depth of Field in flower photos taken by iPhone (Train, random)
• » Change of Depth of Field in flower photos taken by iPhone
• » Change of Depth of Field in flower photos taken by iPhone
• » Horse <-> Zebra
• » Horse to Zebra. Train set.
• » Horse to Zebra. Test set.
• » Horse to Zebra
• » Comparison with Gatys et al. (Style Transfer)
• » Comparison with Gatys et al. (Style Transfer)
• » Results on the Facades label <-> photo dataset
• » All Results on the Facades label <-> photo test set
• » Comparison of different methods on the Cityscapes dataset
• » Ablation study of our method on Cityscapes
• » Apple to Orange (Test set)
• » Apple to Orange.
• » AADB - vivid color (entire test set)
• » AADB - vivid color (random samples from the test set)
• » AADB - vivid color (best result from the test set)

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