Closing the loop: agentic evaluation for image editing foundation models

Why evaluating image editing models is both critical and challenging Instruction-based image editing is becoming a core capability of multimodal foundation models. Users can increasingly edit images simply by describing what they want: “remove the person in the background,” “make the car red,” or…

Why evaluating image editing models is both critical and challenging Instruction-based image editing is becoming a core capability of multimodal foundation models. Users can increasingly edit images simply by describing what they want: “remove the person in the background,” “make the car red,” or “move the chair next to the table.”

Source: Lambda Labs — Published — Category: Models

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