Although Chinese calligraphy generation has achieved style transfer, generating calligraphy by specifying the calligrapher, font, and character style remains challenging. To address this, we propose a new Chinese calligraphy generation model 'Moyun' , which replaces the Unet in the Diffusion model with Vision Mamba and introduces the TripleLabel control mechanism to achieve controllable calligraphy generation. The model was tested on our large-scale dataset 'Mobao' of over 1.9 million images, and the results demonstrate that 'Moyun' can effectively control the generation process and produce calligraphy in the specified style. Even for calligraphy the calligrapher has not written, 'Moyun' can generate calligraphy that matches the style of the calligrapher.

As a communication channel, body movements have been widely explored in behavioral studies and kinesics. Performing and visual arts share the same interests but focus on documenting and representing human body movements, such as for dance notation and visual work creation. This paper investigates body movements in oriental calligraphy and how to apply calligraphy principles to stimulate and archive body movements. Through an artwork (Wushu), the authors experiment with an interactive and generative approach to engage the audience's bodily participation and archive the body movements as a compendium of generated calligraphy. The audience assumes the role of both writers and readers; creating ("writing") and appreciating ("reading") the generated calligraphy becomes a cyclical process within this infinite "Book," which can motivate further attention and discussions concerning Chinese characters and calligraphy.

In context: Researchers are turning the creative world upside down, exploiting artificial intelligence and machine learning algorithms to turn many tasks into semi-autonomous processes. Nothing is safe from generative AI anymore, not even your local doctor's illegible writing. Years before OpenAI and other organizations started toying with AI to easily generate text, speech, artworks, malware, and videos, machine learning researcher Sean Vasquez was studying a 2013 paper by Google DeepMind's Alex Graves to create "handwriting synthesis" experiments. The experiment is available at Calligrapher.ai, which Hacker News recently rediscovered. The handwriting synthesis behind Calligrapher.ai

One of these commercials for Clorets mints is being billed as the first campaign from McCann Erickson Japan's new AI creative director. The other is the work of a human. One is about a flying dog. The other features a barefoot calligrapher. Mondelez brand Clorets Mint Tab is asking the Japanese public to vote on which ad is more effective, without telling people which one is the product of artificial intelligence.