The AI Photo Restoration Tool lets you restore old, damaged, blurred, or low-quality photos using the latest AI (Artificial Intelligence) machine learning powered tech. This free tool will let you enhance your precious photos, giving them a new life.
It is mainly intended for restoring faces in images but will also improve backgrounds.
About the AI Photo Restoration tool – the technical details
The AI Photo Restoration tool uses Generative Facial Prior (GFP), which is a machine learning model that is designed to generate high-quality facial images from low-resolution inputs. It is based on the idea of using a generative model to learn a distribution of facial images, and then using this model to generate new, synthesized images that are similar to the training data.
GFP is implemented as a variant of a Generative Adversarial Network (GAN), which is a type of machine learning model that is composed of two neural networks: a generator and a discriminator. The generator network generates new images based on a given input, while the discriminator network determines whether the images generated by the generator are real or fake. In the case of GFP, the input to the generator network is a low-resolution facial image, and the output is a high-resolution synthesized image. The discriminator network is trained to distinguish between real high-resolution facial images and the synthesized images generated by the generator.
GFP has been shown to be effective at synthesizing high-quality facial images from low-resolution inputs, and has been used in a number of applications, such as face recognition and face detection. It is also possible that GFP could be used for image restoration tasks, such as super-resolution or inpainting, where the goal is to improve the quality of a degraded or damaged image.
Depending on the photo you are trying to restore, you might see a “slight change of identity” and a lower resolution than you might like.
See the GFP-GAN site for more details.
What is AI photo enhancement?
AI photo enhancement is a process of improving the quality of a photograph using artificial intelligence techniques. This can include a variety of tasks such as color correction, noise reduction, and sharpening.
One common approach to AI photo enhancement is to use a machine learning model that has been trained on a large dataset of high-quality photographs. The model is then able to analyze a new photograph and make adjustments to it based on what it has learned from the training data.
For example, if the model has been trained on photographs that are well-lit and have good color balance, it might be able to automatically adjust the lighting and color balance of a new photograph to make it look more like the training data. Similarly, if the model has been trained on photographs with low levels of noise, it might be able to automatically reduce the amount of noise in a new photograph.
Overall, AI photo enhancement can be a useful tool for improving the quality of photographs, especially in cases where manual adjustments would be time-consuming or difficult.