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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.

The Japanese government recently announced a plan to utilize artificial intelligence technology to combat online manga and animation piracy. According to data from the Tokyo Bureau of Cultural Affairs, there are currently at least 1,000 websites illegally offering free downloads of Japanese manga and animation. These sites are accused of causing losses of billions of dollars to Japan's cultural industry each year. To address this issue, the Japanese government has proposed a pilot program totaling 300 million yen (approximately 2 million USD). This program will implement an image and text detection system, leveraging artificial intelligence technology to surveil the internet.

Osamu Tezuka's 'Black Jack' enters a new chapter, showcasing collaboration between AI and humans. The large language model GPT-4 and AI image generator Stable Diffusion work together to develop storylines and character designs. Tezuka's son expressed that while not everyone is satisfied with the project, he hopes it sparks more discussions about AI in the creative field.