“Generating Furry Face Art from Sketches Using a GAN”, 2019-12-01 (; similar):
I generate furry face artwork from color sketches.
The sketches are procedurally generated from a data set of furry artwork. Sketches are translated back into artwork via a Generative Adversarial Network.
I implement the GAN using a U-Net autoencoder with encoder-decoder skip connections and experiment with adding adaptive instance normalization into upsampling layers.
The results show effective mapping of training and dev set sketches back to their input style. However, the model does not perform as effectively on novel user sketches and often fails to add stochastic textures like hair details.