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September 24, 2025Open Access

Object Fidelity Diffusion for Remote Sensing Image Generation

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Authors

ZYZiqi YeSMShuran MaJYJie Yang

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Overview

Novel dual-branch diffusion model improves image fidelity and enhances object detection in remote sensing.

Key Points

  • High-fidelity images were generated, boosting performance in object detection tasks significantly.
  • The model achieved an 8.3% increase in mAP for airplanes, showcasing substantial improvements over past methods.
  • This approach uniquely extracts prior shapes of objects for better diffusion process performance in remote sensing.
  • Dual-branch diffusion model enhances image fidelity without requiring real images during sampling.

Cite This Study

Ye et al. (2025) studied this question.

synapsesocial.com/papers/68d6e16f8b2b6861e4c400a0https://doi.org/10.48550/arxiv.2508.10801
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  1. 1CRS-Diff: Controllable Generative Remote Sensing Foundation Model2024 · 2 citations
  2. 2Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models2024 · 1 citations
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  4. 4Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives2024
  5. 5Environment-Aware Satellite Image Generation with Diffusion Models2025