This is the code implementation of "Unsupervised conversion method of high bit depth remote sensing images using contrastive learning"
This is the code implementation of "Thin Cloud Removal Method Based on Low-Frequency Residual Diffusion and High-Frequency Modulation Refinement by Laplacian Pyramid Decoupling"
A collection of the existing end-to-end cloud removal model
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
CVPR 2024: Residual Denoising Diffusion Models