Reface’s deepfake effects are powered by a class of machine learning frameworks known as GANs (generative adversarial network) which is how it’s able to get such relatively slick results, per Mogylnyi. TechCrunch noticed a bunch of male friends WhatsApp-group-sharing video clips of themselves as scantily clad female singers and figured the developers must be onto something - a la Face App, or the earlier selfie trend of style transfer (a craze that was sparked by Prisma and cloned mercilessly by tech giants). (Want to see Titanic‘s Rose Hall recast with Trump’s visage staring out of Kate Winslet’s body? No we didn’t either - but once you’ve hit the button it’s horribly hard to unsee… 😷) Doubtless it helps to be nearer to Hollywood studios whose video clips power many of the available face swaps. See the original version of this article on BGR.The startup has Ukrainian founders - as well as Mogylnyi, there’s Oles Petriv, Yaroslav Boiko, Dima Shvets, Denis Dmitrenko, Ivan Altsybieiev and Kyle Sygyda - but the business is incorporated in the US.
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Netflix is releasing 41 new original movies and shows in September 2019 – here’s the full list You’ve got one more chance to get Disney+ for under $4 a month – but you really have to hurry Google Maps finally received the one feature that was missing from the mobile app
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Your best chance of preventing anyone from using facial recognition data from your photos or videos is, of course, fighting the urge to install these deepfake apps that often become viral.Īmazon is blowing out popular Anker charging accessories at rock-bottom prices, today onlyġ0 deals you don’t want to miss on Sunday: $5 Amazon smart plug, $15 Wi-Fi extender, $70 off Apple Watch, more The developer was eventually forced to allow users to delete the photos from its service. FaceApp allowed users to share images of how they might look when they grow old, but then it quickly became clear that the user had no say in what happened with the content created with FaceApp. The company that made the app also develops Momo, a local hookup and live-streaming service.īloomberg notes that China’s E-Commerce Research Center urged authorities on Monday to look into the matter as well, saying that Zao “violates certain laws and standards set by the nation and the industry.”Įarlier this year, a similar app went viral. We’ve received the feedback, and will fix the issues that we didn’t take into consideration, which will need a bit of time,” said Zao’s developer on Weibo. “We understand the concern about privacy.
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The app might have been quick to top the free download chart on the Chinese App Store, but it soon received a rating of 1.9 stars out of five from more than 4,000 reviews. Users were outraged over the developer’s initial privacy policy and hit the app with a wave of negative reviews. At least, that’s what the developer says. The app will also delete any user content from its servers if users delete the app. The developer has since updated its terms to say it won’t use any headshots or mini videos uploaded by users for any purposes other than to improve the app. The app requires users to upload an existing photo or a set of photos to create deepfakes. It’s the privacy implications that sparked immediate concern, Bloomberg reports.Īn earlier version of the privacy policy said that the app had “free, irrevocable, permanent, transferable, and relicense-able” access to all user-generated content. Thankfully, the app only lets you add your face to a few clips, which means it can’t be abused that way. One would only need a few photos and clips to create fake news that could go viral on YouTube and social media.
That’s a remarkable achievement both when it comes to speed and the smoothness of the end result, and it should remind us all of the dangers deepfake apps might pose. As you can see in the video below, Zao only needed 8 seconds to replace Leonardo DiCaprio’s face with the user’s face in the example below: Zao works really well, showing how creepy and dangerous this type of AI technology can be.
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