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AutoRef: Harness Optimization for Agentic Multi-Reference Image Generation
Recent image generation models can take multiple reference images as input and combine them into a new image. However, multi-reference image generation remains challenging: models may omit or duplicate subjects from the references, or produce images in which multiple subjects appear unnaturally past
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