Instruction Based Editing

Instruction-based image editing focuses on modifying images based on natural language instructions, aiming for more intuitive and user-friendly image manipulation than traditional methods. Current research emphasizes improving the accuracy and control of edits, particularly for complex tasks involving actions, reasoning about physical dynamics, and multi-attribute changes, often leveraging diffusion models and multimodal large language models. This field is significant because it bridges the gap between human intent and image manipulation, with potential applications in various fields including creative design, content creation, and computer-aided design.