ohayonguy/PMRF
[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
This project helps anyone working with images to fix blurry, noisy, or low-quality photos. You input a degraded image, and it outputs a significantly clearer, more photo-realistic version. This is ideal for photographers, graphic designers, or content creators who need to enhance the visual quality of existing images without losing important details.
742 stars. No commits in the last 6 months.
Use this if you need to restore or improve the quality of degraded images, especially faces, to achieve a photo-realistic and perceptually pleasing result.
Not ideal if you're looking for a simple, one-click solution without any technical setup or if you only need basic image adjustments like cropping or color correction.
Stars
742
Forks
42
Language
Python
License
MIT
Category
Last pushed
Feb 05, 2025
Commits (30d)
0
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