awesome-neural-art

Code for

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization.

NIPS 2017 Toward Multimodal Image-to-Image Translation, PyTorch implementation. Given the same night image, model is able to synthesize possible day images with different types of lighting, sky and clouds.

Photoshopping an object into a painting, and then neural network changes the style (pallete, strokes, luminosity, etc) of the object to match the painting style.

Code and data for

TensorFlow CNN for fast style transfer with larger scale style features in transformations.

Unofficial implementation of

Generates training data for the Deep Image Matting paper.

Same author as

Implementations of an encoder-decoder Modified Aligned Xception and ResNet as backbone

Same author as

The original Google implementation.

Generative Image Inpainting with Contextual Attention.

Contains face-completion and general image completion models. Each can complete images with differnet types of corrupted masks like scribbles, lines, dots and texts.

a two-stage adversarial model that comprises of an edge generator followed by an image completion network.

Image restoration with neural networks but without learning. Does artifact removal, inpainting, super-resolution, denoising.

Clean up deconvolution checkerboard artifacts found in style transferred images.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

Image Super-Resolution for Anime-Style Art.

iGAN: Interactive Image Generation via Generative Adversarial Networks.

An AI-driven interactive line art colorization tool. Backend is a Residual U-net and Auxiliary Classifier GAN.