Personalized Image Generation

The personalized image generation task leverages computer vision technology to generate new images that include a specific theme or style based on one or more input images and text prompts that contain the same theme or style. This task encompasses methods based on fine-tuning (such as DreamBooth, Textual Inversion) and encoder-based methods (such as E4T, ELITE, IP-Adapter), aiming to enhance the customization level and expressive power of image generation. It has a wide range of application values.