MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching

Apple researchers have introduced MT-EditFlow, a new framework that uses reinforcement learning and flow matching to improve multi-turn image editing. This approach addresses the common limitation where models fail to maintain consistency or interpret complex, successive instructions during iterative design sessions. By integrating feedback loops, the system allows for more precise, sequential modifications to generated images.