This is the Windows app named Old Photo Restoration whose latest release can be downloaded as v1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Old Photo Restoration
DESCRIPTION
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two variational autoencoders (VAEs) to respectively transform old photos and clean photos into two latent spaces. And the translation between these two latent spaces is learned with synthetic paired data. This translation generalizes well to real photos because the domain gap is closed in the compact latent space. Besides, to address multiple degradations mixed in one old photo, we design a global branch with a partial nonlocal block targeting to the structured defects, such as scratches and dust spots.
Features
- Old Photo Restoration via Deep Latent Space Translation, TPAMI 2022
- The framework now supports the restoration of high-resolution input
- Training code is available and welcome to have a try and learn the training details
- You can now play with our Colab and try it on your photos
- The code is tested on Ubuntu with Nvidia GPUs and CUDA installed
- Python>=3.6 is required to run the code
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/old-photo-restoration.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
