Deep Learning / photo

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A collection of Deep Learning based Image Colorization and Video Colorization papers.

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TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

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photo-coloring 🌿
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A Deep Learning based coloring tool, which can color a black-white or gray picture.

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Image restoration with neural networks but without learning.

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1115 (+4) ⭐

A curated list of deep learning image classification papers and codes

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FastPhotoStyle 🌿
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Style transfer, deep learning, feature transform

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DeOldify 🌿
9173 (+15) ⭐

A Deep Learning based project for colorizing and restoring old images (and video!)

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neural-enhance πŸ‚
9921 (+3) ⭐

Super Resolution for images using deep learning.

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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.

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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.

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