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Attributes predictor #23
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Sorry that we will not release the attribute model. However, you can manually label a collection of synthesized images and then train a linear boundary for further manipulation. |
So is there a format of what labels should be? Or 1 and 0 will be OK? |
Yes, 0/1 is enough. |
OK, thanks! |
@muxgt |
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Hi! Thanks for your great research!
Is there any chance you can provide attributes predictor that you used for finding boundaries? I didn't really get about scores that it should give to attributes on the pictures.
Also for example for binary attributes like glasses/no glasses is it possible to manually put labels of say 1 for glasses, 0 for no glasses and feed this data to train a new boundary?
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