A newer version of the Gradio SDK is available: 6.25.0
metadata
title: CURE
emoji: 🎛️
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.38.0
app_file: app.py
python_version: '3.10'
models:
- ses7720/CURE
tags:
- image-restoration
- controllable-image-restoration
- low-light-enhancement
- dehazing
- deraining
- desnowing
preload_from_hub:
- ses7720/CURE CURE_restorer.tar,OneRestore_embedder.tar
CURE: Controllable Unified Image Restoration
This Gradio Space exposes the five CURE inference modes:
- full one-step restoration;
- ratio-controlled restoration;
- selective degradation removal;
- identity/no-restoration inference; and
- ordered two-stage restoration.
The model weights are loaded from ses7720/CURE. The source code and command-line inference tools are available on GitHub.
Each tab includes representative CCDD-11 sample images. The samples cover three different scenes, each with all 11 supported degradation combinations, making it easy to compare controls without uploading an image first.