CompVis / adaptive-style-transfer

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
https://compvis.github.io/adaptive-style-transfer/
GNU General Public License v3.0
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About how to calculate deception score for our own model of our own style dataset #35

Open xurong1981 opened 4 years ago

xurong1981 commented 4 years ago

I can evaluate the new models of the artists mentioned in github page, based on evaluation data provided by the authors. But I wonder how to calculate deception score for new models of new styles, for example, I collect a data set on ink painting, and made a new model of ink painting. For this case, how can I calculate deception score for the new model of ink painting ?

Thank you so much for your comments.