Original sourceThe Decoder
Summary
Adobe Research and UC San Diego have introduced EditAgent, an AI system for image editing that plans tasks step by step and combines specialized tools like sharpening and upscaling with a general editor. The system uses standard language models to evaluate candidate results in parallel, judging qua…
Key points
- Demonstrates how agents can improve image editing accuracy through tool combinations and parallel verification, while revealing the compute cost.
- Breaking professional retouching workflows into verifiable steps is a key experiment in taking AI editing tools from demos to deliverable quality.
- Image and design tool teams can reference the 'multiple candidates plus unified judge' architecture, but must factor roughly ten times the compute cost into product pricing.
Editorial note
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