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CNN-DiffSR: A New Method for Remote Sensing Image Super-Resolution Integrating CNN and Diffusion Model

An end-to-end trained remote sensing image super-resolution framework that achieves collaborative optimization by using CNN to guide the diffusion model, and has obtained leading reconstruction results on datasets such as AID, UC Merced, and NWPU-RESISC45.

遥感图像超分辨率扩散模型卷积神经网络深度学习计算机视觉图像重建
Published 2026-05-09 09:55Recent activity 2026-05-09 09:59Estimated read 1 min
CNN-DiffSR: A New Method for Remote Sensing Image Super-Resolution Integrating CNN and Diffusion Model
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Section 01

导读 / 主楼:CNN-DiffSR: A New Method for Remote Sensing Image Super-Resolution Integrating CNN and Diffusion Model

Introduction / Main Floor: CNN-DiffSR: A New Method for Remote Sensing Image Super-Resolution Integrating CNN and Diffusion Model

An end-to-end trained remote sensing image super-resolution framework that achieves collaborative optimization by using CNN to guide the diffusion model, and has obtained leading reconstruction results on datasets such as AID, UC Merced, and NWPU-RESISC45.