Anyone can simply upload a selfie to the ‘Selfie 2 Waifu’ website to create their own AI-generated waifu-style anime character in seconds.

The AI leverages the release of the new Tensorflow implementation of unsupervised generative network U-GAT-IT, 

For best results, participants are advised to submit a clear passport-style picture with a plain background. Although the site can also generate male anime results, as the name suggests the system generally performs better on female selfies.

“Our model guides the translation to focus on more important regions and ignore minor regions by distinguishing between source and target domains based on the attention map obtained by the auxiliary classifier,” the researchers explain. “These attention maps are embedded into the generator and discriminator to focus on semantically important areas, thus facilitating the shape transformation.”

Deepfakes leverage powerful techniques from machine learning and artificial intelligence to generate visual and audio content with a such a high degree of realism that it has enormous potential to deceive.

This article in Medium explores efforts into research and development into creating countermeasures to such bogus content.

Within recent months, a number of mitigation mechanisms have been proposed and cited with the use of Neural Networks and Artificial Intelligence being at the heart of them. From this, we can distinguish that a proposal for technologies that can automatically detect and assess the integrity of visual media is therefore indispensable and in great need if we wish to fight back against adversarial attacks. (Nguyen, 2019)

Siraj Raval explores generative modeling technology.

This innovation is changing the face of the Internet as you read this. It’s now possible to design automated systems that can write novels, act as talking heads in videos, and compose music.

In this episode, Siraj explains how generative modeling works by demoing 3 examples that you can try yourself in your web browser.