It would be interesting to take a photo of the Eiffel Tower by day, and then
- apply style transfer to turn it into a photo by night (which would, I suspect exclude any lights)
- train a (second) neural network to predict the positions of lights on a night-time photos of various buildings (ensuring that all buildings/light arrangements in your dataset predated the Eiffel Tower's lights).
I suspect that you could end up with images close to the real Eiffel Tower - at least close enough for it to be aesthetically pleasing and recognisable as the Eiffel Tower.
What would the copyright position on this be? IANAL, but it seems as though either
- the lights are not exactly correct, and so this (manipulated) photo isn't covered by the copyright on the lights on the Eiffel Tower or
- the lights are correct (or close enough), and so the lights on the Eiffel Tower are in the obvious places (given that a ML algorithm could predict them) - in that case, is there enough creativity in the arrangement for copyright to have been granted.
Thoughts?
(I'm sure I'll never find enough time to actually do this - the style transfer is trivial, but finding a suitable dataset of photos of other buildings of a suitable era by night is probably too much work! :( )