Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond
This is an experimental tensorflow implementation of semantic inpainting from corrupted images using DCGANs from the paper Semantic Image Inpainting with Perceptual and Contextual Losses. A major help was Brandon Amos blog on Image Completion.One of the major difference between is the training method used.I have used Adam Optimizer instead of gradient descent.
Note: Due to unavailabity of GPU,i didnt train the model for long.This results are after an hour of training