MLAlchemy-cmd/Document-Denoising-using-CycleGAN
Built a CycleGAN-based deep learning model for document denoising and restoration. The project restores scanned documents by removing noise and artifacts, improving readability and OCR performance. Applied adversarial, cycle-consistency, and identity losses to train generators and discriminators.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/MLAlchemy-cmd/Document-Denoising-using-CycleGAN"
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
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
otenim/GLCIC-PyTorch
A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".