DDColorIt is a photo-realisticImage colorization tools, adopts dual decoder technology, which can simultaneously consider color distribution and pixel-level detailed information to achieve highly realistic image colorization effects.
Not only can it colorize historical black and white photos, but it can also colorize scenery from anime or games in a realistic style and convert animated scenes into real-life style.
Project address: https://www.1ai.net/2911.html
DDColor uses a dual decoder to process images: one to recover the structure of the image, and the other to determine the color of each part of the image.
Unlike previous methods, DDColor does not rely on manually set rules, but can learn the content of the image and determine the appropriate color. This method can more accurately color images of complex scenes, reduce the problem of color smearing errors, and make the final image look richer and more natural.
DDColor works as follows:
1. It uses an encoder to analyze the input black and white image and extract important visual features from it.
2. The extracted features are processed into representations of different scales to better understand the content and context of each part in the image.
3. Based on the features at different levels, DDColor decides how to colorize the image, and combines the color information to color the entire photo.
4. By combining the outputs of the pixel decoder and the color decoder, DDColor generates color images with rich colors and realistic details.
DDColor also introduces a specialized loss function, the color richness loss, which is used to enhance the color saturation and visual appeal of the generated image, making the final color image more vivid and realistic. The innovation of this technology is that it can color each part of the picture more accurately and naturally, ensuring the correct application and natural transition of colors.