[Discussion] Is this generative technique novel? • r/MachineLearning

I'm interested in generative models and I have an idea that I haven't seen attempted before. I'm interested to see if it's really original or if there's previous research. The idea is take the inputs and mixed them with noise, then train a neural network to decide what the mixing coefficient was. To generate examples, simply start with noise and optimize the pixel values until the network says that it's real. Perhaps a second network could be trained to speed this process up.