DDColorIs a photo-realistic imageColoring Tools, using dual decoder technology, self-learning image content, and achieving highly realistic colorization effects for historical black-and-white photos and animation scenes. The working principle includes encoder analysis of images, multi-scale feature extraction, colorization decision and decoder output combination, while introducing a color richness loss function to innovatively improve the color saturation and attractiveness of the generated images. For more information, please visit the project address.
DDColor is the latest image colorization algorithm. It takes a black-and-white image as input and returns a color image after colorization. It can also achieve natural and vivid colorization effects. This model is a black-and-white image colorization model. It takes a black-and-white image as input, realizes end-to-end full-image colorization, and returns a color image after colorization. Expected usage and scope of application of the model: This model is applicable to image inputs in various formats. Given a black-and-white image, it generates a color image after colorization. Given a color image, it automatically extracts the grayscale channel as input to generate a re-colored image.
Product Features:
Input a black and white image and generate a colored image
Input a color image and automatically extract the grayscale channel to generate a recolored image
Official website address: https://www.modelscope.cn/models/damo/cv_ddcolor_image-colorization/summary