Adobe Research and UC San Diego Build EditAgent for Professional-Style AI Image Editing
Adobe Research and UC San Diego developed EditAgent, an AI system that edits images by selecting specialized tools for each task rather than repeatedly invoking a general-purpose editor. A standard language model chooses the best result based on measured image data. The approach works but requires about ten times the compute.
AI Brief
It offers a concrete look at how AI agents can coordinate specialized creative tools, a useful direction for agentic image-editing workflows despite the higher compute cost.
Adobe Research and UC San Diego built EditAgent, an AI system that edits images more like a Photoshop pro. Instead of retrying the same general-purpose editor over and over, the agent picks the right specialized tool for each task and lets a standard language model choose the best result based on measured image data. The approach works, but it needs about ten times the compute.
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