Skip to content

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

Notifications You must be signed in to change notification settings

avhirupc/Semantic-Image-Completion

Repository files navigation

Semantic Inpainting using DCGANs


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.


Requirements

  • Tensorflow
  • glob
  • Python 3

Dataset

  • I have used Celebrity faces dataset CelebA.Download the aligned version ,extract in the same directory as the code

Model Architecture

alt-text


Few Results are Partial Training

Note: Due to unavailabity of GPU,i didnt train the model for long.This results are after an hour of training

alt-text alt-text

About

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published