Japanese researchers from IMAGICA GROUP Inc., OLM Digital, Inc. and Nara Institute of Science and Technology (NAIST) have jointly developed a technique for automatic colorization in anime production.
This project implements an image colorization system using a Generative Adversarial Network (GAN). It takes grayscale images as input and produces colorized versions. The project combines a deep ...
Lets assume that you are given with below image: Then you find a similar color image (or it is given to you): So you are given an gray scale image, and a similar but colored image. Then you will ...
The automatic colorization technology has been widely researched, and some highly accurate automatic colorization technologies have been reported. However, most methods are static image-based ...
A novel example-based process for Automated Colorization of grayscale images using Texture Descriptors (ACTD) without any human intervention is proposed. By analyzing a set of sample color images, ...
Abstract: Personalized colorization of grayscale videos has extensive application potential in consumer electronics, but it is a challenging problem due to occlusions ...
A novel example-based process for Automated Colorization of grayscale images using Texture Descriptors (ACTD) without any human intervention is proposed. By analyzing a set of sample color images, ...
Abstract: We propose a Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning and recurrent architecture. The VCGAN ...
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