EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

Recently, convolutional networks have achieved remarkable development in remote sensing image (RSI) super-resolution (SR) by minimizing the regression objectives, e.g., MSE loss. However, despite achieving impressive performance, these methods often suffer from poor visual quality with oversmooth issues. Generative adversarial networks (GANs) have the potential to infer intricate details, but they are easy to collapse, resulting in undesirable artifacts. To mitigate these issues, in this article, we first introduce diffusion probabilistic model (DPM) for efficient RSI SR, dubbed efficient diffusion model for RSI SR (EDiffSR). EDiffSR is easy to train and maintains the merits of DPM in generating…

• NN
  National Natural Science Foundation of China

  Awards: 42230108, 61971319