In a traditional approach, you would generate random images, calculate some distance metric, then use some optimization method like simulated annealing to minimize the distance.
I get that the difference between the image representations is being optimzied here, but how is it possible that changing tokens in a program is differentiable?
In a traditional approach, you would generate random images, calculate some distance metric, then use some optimization method like simulated annealing to minimize the distance.
I get that the difference between the image representations is being optimzied here, but how is it possible that changing tokens in a program is differentiable?