teenbear

The intent appears to be the manipulation of the physical space at the time of capture. A double exposure of your subject and then a second exposure of the dove or other image would be no better than photoshopping the image after

The original image was an amalgamation of several different reconstruction techniques with varying dependence on prior information. They also had data driven techniques during the original analysis but I don't think they were used to generate the final image shown to the public

Thanks for the write up! Just a note: at least in the pytorch collab there are missing includes (numpy and the imread function)

there's links to the basic collab implementations at the top

You're assuming that their information is accurate which we have no real reason to do.

From the article "It’s unclear how accurate Mobilewalla’s analysis actually is"

In theory it is, in reality there is discretization of the signal and noise

I opened it hoping it was a story about teach a course on the history of computer art. Is there any resources for something similar to that?

I think the gap in this case is not as wide as you think given that it is only looking at this one image. Had the network been trained for one art style in particular it may be able to pick up on that detail similar to if a person had studied many paintings in that style.