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Recently, a line art coloring method called MangaNinja has garnered widespread attention, allowing users to color target line art based on reference images with just an input of the line art and the reference image. This technology is based on a diffusion model and focuses on reference-image-guided line art coloring, significantly enhancing the accuracy of coloring and interactive control capabilities. The research team employed two innovative designs to ensure precise transfer of character details. First, they introduced a patch rearrangement module to facilitate correspondence learning between the reference color images and the target line art. Secondly, they adopted a point-driven approach.

SketchDeco is a sketch coloring method that requires no training. It can transform hand-drawn sketches, masks, and palettes into realistic images without user-defined text prompts. During the line art coloring process, specific areas can be selected, and designated colors can be provided, allowing the AI to apply the specified color effects in the chosen areas.