AI RESEARCH
CAMEO: A Conditional and Quality-Aware Multi-Agent Image Editing Orchestrator
arXiv CS.CV
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ArXi:2604.03156v1 Announce Type: new Conditional image editing aims to modify a source image according to textual prompts and optional reference guidance. Such editing is crucial in scenarios requiring strict structural control (i.e., anomaly insertion in driving scenes and complex human pose transformation). Despite recent advances in large-scale editing models (i.e., Seedream, Nano Banana, etc), most approaches rely on single-step generation. This paradigm often lacks explicit quality control, may.