Neural Love

Neural Love is a mobile Android service that allows you to edit videos and images by means of a neural network. The functionality of the utility provides an opportunity to improve the detail of videos and photos. In addition, users can create new pictures.

Editing

After installing this program, users get access to an advanced algorithm that is able to work with pictures, videos and audio files. But first the service will ask for authorization via Google or Facebook. To start processing, you need to select the desired file from the gallery of the portable gadget and upload it to the utility. To make this possible, you need to give the program access to the internal memory of the device. Artificial intelligence is able to increase the resolution of the original videos and pictures. To do this, the algorithm analyzes the image or frames from the video. Then artifacts and noise are removed from the file. After their elimination, the neural network begins to increase the image detail. In addition, AI is able to improve the quality of sound in audio files, eliminating unnecessary noise and defects.

Image generation

Thanks to this program, users can get unique images. To create them, it is enough to write a text command. In it, you need to enter the desired requirements for the final result. For example, you can specify the style or the name of the mandatory object in the image. The neural network is able to create pictures not only on the basis of commands, but also on the basis of another image. The user needs to load examples into the program, on which the advanced algorithm will be guided. At the same time, it is necessary to add at least two dozen pictures. At first, you can use the utility for free. However, over time, the user will run out of virtual points. They can be obtained after a paid subscription.

Features

• Mobile service for modern versions of Android;
• Processing of audio files, pictures and videos with the help of AI;
• User gets a small number of free attempts;
• Creating pictures using text queries or uploading examples.