megvii-research/DCLS-SR
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
This helps image restoration specialists and visual content creators enhance blurry, low-resolution images by predicting the missing details. You provide a poor-quality image, and it outputs a significantly sharper, higher-resolution version, even when the original blur is complex or unknown. It's designed for professionals who need to improve image clarity for analysis or display.
238 stars. No commits in the last 6 months.
Use this if you need to reliably upscale and deblur images where the blur type is unknown, making them clearer for tasks like forensic analysis, old photo restoration, or visual content improvement.
Not ideal if you're looking for a simple drag-and-drop tool without any technical setup, as this requires some programming environment knowledge.
Stars
238
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21
Language
Python
License
MIT
Category
Last pushed
May 13, 2023
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