Diverse layout-plus-prompt conditioning of diffusion models generates synthetic data that improves few-shot object detection mAP by up to 177% over real-data-only training, while prompt-only conditioning wins when conditions are scarce.
Gpt-4 technical report, 2023
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Understanding Trade offs When Conditioning Synthetic Data
Diverse layout-plus-prompt conditioning of diffusion models generates synthetic data that improves few-shot object detection mAP by up to 177% over real-data-only training, while prompt-only conditioning wins when conditions are scarce.