AI RESEARCH

Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana Pro

arXiv CS.AI

ArXi:2604.03400v1 Announce Type: cross The multi-step, iterative image editing capabilities of multi-modal agentic systems have transformed digital content creation. Although latest image editing models faithfully follow instructions and generate high-quality images in single-turn edits, we identify a critical weakness in multi-turn editing, which is the iterative degradation of image quality. As images are repeatedly edited, minor artifacts accumulate, rapidly leading to a severe accumulation of visible noise and a failure to follow simple editing instructions.