This New Photo AI Let’s You Edit Photos With Just One Click [GAN Paint Studio]

    AI (Artificial Intelligence) has improved to the level that companies started implementing in its core, in turn allowing it to process more and deliver the need. Well, going along the saga, there’s a new AI in the town which does all your photo work in a single click, making it called Photo AI.

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    Edit Photos With Just One Click Using Photo AI

    This new Photo AI called GAN (Generative Adversarial Network) Paint Studio is developed by researchers of MIT and IBM. This AI lets you upload a picture and manipulates (add, edit, remove objects in a photograph) it without ruining its original details.

    Photo AI

    For instance, if you add a tree or grass to the scene, related objects will be rectified so as to make the resulting image look realistic. Take a look at the image below where I’ve added grass in front of this building.

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    Antonio Torralba, a professor at MIT who’s part of the MIT-IBM Watson AI Lab, said;

    All drawing apps will follow user instructions, but ours might decide not to draw anything if the user commands to put an object in an impossible location. It’s a drawing tool with a strong personality, and it opens a window that allows us to understand how GANs learn to represent the visual world.

    Behind GAN Paint Studio AKA Photo AI

    The researchers first tested the tool by removing certain objects in the scene and observing how artifacts around the removed object were affected. Later these data were used to train the algorithm to make realistic modifications when an object is added or removed.

    Well, the team used a basic two-part network methodology to train the model- generators and discriminators. The generators were used to create samples of realistic photos, while the discriminators were used to modify the generator model to make it better at creating realistic images.

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    The researchers and developers of this AI understand the potential of this tool to get misused in malicious ways. However, the co-author of the paper, Jun-Yan Zhu thinks that this tool will help researchers learn what kind of mistakes AI makes and weed out fake images.



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