RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance

Dimensions overall score 8.0

• RSGen significantly improves the performance of existing Layout-to-Image models on remote sensing datasets.result 90%
• RSGen achieves +9.8 and +12.0 gains in YOLOScore mAP50 and mAP50-95 respectively on the DOTA dataset with CC-Diff.result 95%
• RSGen improves downstream detection task performance by +1.6 mAP.result 95%
• RSGen employs a progressive enhancement strategy with two main steps: edge map diversity enrichment and pixel-level control conditioning.method 90%
• RSGen ensures generated instances strictly adhere to layout constraints within bounding boxes.technical 85%
• Existing Layout-to-Image approaches suffer from limited fine-grained control and fail to strictly adhere to bounding box constraints.limitation 85%
• RSGen is a plug-and-play framework that leverages diverse edge guidance to enhance layout-driven RS image generation.method 90%
• The code for RSGen will be publicly available on GitHub.technical 95%

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