NWPU-LHH/WFLM-GAN
WFLM-GAN：Multiscale Generative Adversarial Network Based on Wavelet Feature Learning for SAR-to-Optical Image Translation
This project helps convert complex Synthetic Aperture Radar (SAR) images into easy-to-understand optical images. You provide SAR images, and it outputs corresponding optical images that are visually clear and retain the essential details of the original SAR data. This tool is ideal for remote sensing analysts, environmental researchers, or anyone who needs to quickly interpret SAR data without specialized expertise.
No commits in the last 6 months.
Use this if you need to transform hard-to-interpret SAR imagery into clear, optical-style images for easier analysis and visualization.
Not ideal if you primarily work with optical imagery and do not need to process SAR data.
Stars
7
Forks
—
Language
Python
License
—
Category
Last pushed
Apr 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/NWPU-LHH/WFLM-GAN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pathak22/context-encoder
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
knazeri/edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019...
shepnerd/inpainting_gmcnn
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
leehomyc/Faster-High-Res-Neural-Inpainting
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
youyuge34/Anime-InPainting
An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵