Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
March 4, 2025 ยท View on GitHub
This repository is the official implementation of the paper "NeurOp-Diff: Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion".
Environment configuration
The codes are based on python 3.11, pytorch 2.4.0 and CUDA version 12.4.
Data preparation
checkpoint
The pre-trained weights for continuous SR can be found at this link
Train
python main.py --config train.yml --exp ./result --doc pth --timesteps [steps] --ni
Test
python test.py --config ./configs/test.yml --model [checkpoint_path] --timesteps [steps]
Demo
python demo.py --config ./configs/test.yml --model [checkpoint_path] --path [image_path]