/gogh-get-paper

Primary LanguageJupyter Notebook

Gogh Get Paper (WebGAN)

We explore generating high resolution images by progressively generating 64x64 images using a Deep Convolutional Generative Adversarial Network (DCGAN) and Convolutional Neural Networks (CNNs).

Data Collection

Retrieving images from Reddit/EarthPorn (PHOTOS): crawlers/notebooks/Reddit Crawler.ipynb

Splitting images into 64x64 snapshots (IMAGESPLIT): data/Crop Images to Smaller Size.ipynb

Creating 2 by 2 sub-images (EXTENSIONSPLIT): data/Create Extend Training Data.ipynb

Model Training

RootGAN: data/Base GAN.ipynb

RightExtender: data/Extend NN.ipynb

DownExtender: data/Extend NN Down.ipynb

DiagonalExtender: data/Extend NN Diagonal.ipynb