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Then the synthesized flow field is used to guide the propagation of pixels to fill up the missing regions in the video. Specifically, the Deep Flow Completion network follows a coarse-to-fine refinement to complete the flow fields, while their quality is further improved by hard flow example mining.

Following the guide of the completed flow, the missing video regions can be filled up precisely.


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  • I’M SO MAD ‘BOUT GET’N OLD, I COULD DIE.

Our framework contains two steps, the first step is to complete the missing flow while the second step is to propagate pixels with the guidance of completed flow fields. The first subnetwork estimates the flow in a relatively coarse scale and feeds them into the second and third subnetwork for further refinement.

California bans 'deep fakes' video, audio close to elections

In the second step, after the flow is obtained, most of the missing regions can be filled up by pixels in known regions through a flow-guided propagation from different frames. A conventional image inpainting network is finally employed to complete the remaining regions that are not seen in the entire video. Thanks to the high-quality estimated flow in the first step, we can easily propagate these image inpainting results to the entire video sequence. Results of our flow-guided video inpainting approach.


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For each input sequence odd row , we show representative frames with mask of missing region overlay. We show the inpainting results in even rows.

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If we forget the fact that there are over 30 nations actively engaged in cyberwar at any time, then the biggest concern with deepfakes might be things like the ill-conceived website Deepnudes, where celebrity faces and the faces of ordinary women could be superimposed on pornographic video content. A lot of the fear about deepfakes rightfully concerns politics, Hickerson says.

Might other countries be forced to act if the threat was immediate? With the elections approaching and the continued threat of cyberattacks and cyberwar, we have to seriously consider a few scary scenarios:. This means that deepfakes put companies, individuals, and the government at increased risk. However, there are a number of solutions and new ideas emerging in the AI community to combat this threat.

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Still, the solution must be humans first. Last month, the U. This followed the request that Congress made in January asking the Director of National Intelligence to provide a formal report on deepfake technology. While legislative inquiry is critical, it may not be enough. The organizations are looking at both how to use GAN technology, but also how to combat it. Additional recent research suggests that mice might just be the key.

This means mice could inform next-generation algorithms that could detect fake video and audio. While advances in deepfake technology could help spot deepfakes, it may be too late. Is that enough to outweigh the damage? Medicine is important.

But so is ensuring the foundation of our democracy and our press. Many Americans have already lost their faith in the news. And as deepfake technology grows, the cries of fake news are only going to get louder.

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Audiences should independently seek out related contextual information and pay especially attention to who and why someone is sharing a video. Generally speaking, people are sloppy about what they share on social media. Even if your best friend shares it, you should think about where she got it. Who or what is the original source? The solution to this problem has to be driven by individuals until governments, technologists, or companies can find a solution.