[P] Image completion using incomplete data • r/MachineLearning

Most of the image completion and generative models require fully-observed samples to train the network. However, as it's stated in the ambientGAN paper, obtaining high resolution samples can be very expensive or impractical for some applications. The AmbientGAN model enables training a generative model directly from noisy or incomplete samples. The generator in the model successfully predicts samples from the true distribution with the use of a measurement function. On the other hand, the model in Globally and Locally Consistent Image Completion uses fully-observed samples to train the network.