MuXTing / Semantic-Image-Completion

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

Semantic Inpainting using DCGANs

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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.

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Requirements

• Tensorflow
• glob
• Python 3

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Dataset

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

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Model Architecture

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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