A collection of Deep Learning based Image Colorization and Video Colorization papers.
TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
A Deep Learning based coloring tool, which can color a black-white or gray picture.
Image restoration with neural networks but without learning.
A curated list of deep learning image classification papers and codes
Style transfer, deep learning, feature transform
A Deep Learning based project for colorizing and restoring old images (and video!)
Super Resolution for images using deep learning.
Transform black and white images (or your webcam) into beautifully colored images using Deep Learning. Uses OpenCV and Numpy to Colorize your photo or webcam video. GUI provided by PySimpleGUI.
Caption generation is a challenging artificial intelligence problem where a textual description must be generated for a given photograph. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. Recently, deep learning methods have achieved state-of-the-art results on examples of this problem. Deep learning methods have demonstrated state-of-the-art results on caption generation problems. What is most impressive about these methods is a single end-to-end model can be defined to predict a caption, given a photo, instead of requiring sophisticated data preparation or a pipeline of specifically designed models. In this tutorial, you will discover how to develop a photo captioning deep learning model from scratch. After completing this tutorial, you will know: How to prepare photo and text data for training a deep learning model. How to design and train a deep learning caption generation model. How to evaluate a train caption generation model and use it to caption entirely new photographs.