Awesome

Awesome Neural Art

Creating art and manipulating images using deep neural networks.

See also: Awesome Image Colorization and the colorization subreddit where people do this manually.

adaptive-style-transfer - Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization.
deep-photo-styletransfer - Code and data for "Deep Photo Style Transfer".
fast-style-transfer - TensorFlow CNN for fast style transfer with larger scale style features in transformations.
texture_nets - Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images".
AdaIN-style - Code for Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization. Contains neat features such as transfering style without color, style interpolation, and spatial control.

Bicycle GAN - 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.

Neural Style Transfer - Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" in Keras 2.0+.
Deep Painterly Harmonization - 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. See paper.

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

fft-descreen - Clean up deconvolution checkerboard artifacts found in style transferred images.

AKA in-painting

DeepFill V1 - Generative Image Inpainting with Contextual Attention.
EdgeConnect - a two-stage adversarial model that comprises of an edge generator followed by an image completion network. <img src='https://user-images.githubusercontent.com/1743048/50673917-aac15080-0faf-11e9-9100-ef10864087c8.png' width=820>
Deep Image Completion - Contains face-completion and general image completion models. Each can complete images with differnet types of corrupted masks like scribbles, lines, dots and texts. <img src='https://raw.githubusercontent.com/adamstseng/general-deep-image-completion/master/general-completion.jpg' width=820>

Deep Image Matting - Implementations of the Deep Image Matting paper.
- Dataset generator - Generates training data for the Deep Image Matting paper.
- Tensorflow implementation - Original paper author.
- PyTorch implementation - Same author as Keras implementation, but this is their improved (and maintained) codebase.
- Another PyTorch implementation
Salient Object Detection - Tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections" (not peer reviewed). Same author as original Deep Image Matting author.
AlphaGAN - Unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting. Uses a GAN as the name suggests.
DeepLab V3+ - Implementations of an encoder-decoder Modified Aligned Xception and ResNet as backbone (paper).

neural-doodle - Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

style2paints - An AI-driven interactive line art colorization tool. Backend is a Residual U-net and Auxiliary Classifier GAN.

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

To the extent possible under law, Richard Decal has waived all copyright and related or neighboring rights to this work.