Visual Style
Visual style research focuses on understanding and manipulating the aesthetic qualities of images, aiming to personalize image generation and transfer styles efficiently. Current efforts concentrate on developing models that learn and apply visual styles based on user preferences, often employing state-space models or large language models to guide the process and improve efficiency. This research is significant for advancing image generation and manipulation technologies, impacting fields such as creative content generation, visualization design, and personalized user experiences.
Papers
July 24, 2024
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December 14, 2023