uctPix2Pix, 3.16 for GLIGEN-based Edit, and
3.39 for ControlNet-XL. Ablation studies, human evaluations, and analyses of
iterative refinement, backbone choices, tool usage, and robustness to
instruction complexity further validate the efficacy of our agentic design in
delivering superior edit fidelity and context preservation.</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduces RefineEdit-Agent, a novel LLM-LVLM driven agent for iterative and fine-grained image edi