Image Editing

Image editing research focuses on developing efficient and controllable methods for modifying images based on user instructions, whether textual, visual (e.g., drag-and-drop), or a combination. Current efforts concentrate on improving the precision and speed of editing, particularly using diffusion models and incorporating techniques like prompt engineering, geometric loss functions, and attention mechanisms to enhance realism and background preservation. These advancements are significant for various applications, including content creation, medical imaging analysis, and the detection of image forgeries, improving both the quality and accessibility of image manipulation tools.