         <p class="paper-summary">Despite the remarkable capabilities of text-to-image (T2I) generation models,
real-world applications often demand fine-grained, iterative image editing that
existing methods struggle to provide. Key challenges include granular
instruction understanding, robust context preservation during modifications,
and the lack of intelligent feedback mechanisms for iterative refinement. This
paper introduces RefineEdit-Agent, a novel, training-free intelligent agent
framework designed