Image Customization

Image customization research focuses on generating or modifying images based on user-specified text or image prompts, aiming for precise control and efficient processing. Current efforts center on developing tuning-free methods using diffusion models and incorporating both text and image guidance to achieve high-fidelity results, often employing novel attention mechanisms or iterative training schemes to refine edits and maintain semantic consistency. This field is significant for its potential to improve accessibility of information, enhance creative design tools, and advance various applications requiring tailored image generation, such as personalized content creation and 3D scene editing.