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et al. animate heads using only few shots of target person (or even 1 shot). Keypoints, adaptive instance norms and GANs, no 3D face modelling at all.
📝 https://t.co/SxnVfY72TT pic.twitter.com/GjVrJbejT0
— Dmitry Ulyanov (@DmitryUlyanovML) May 22, 2019
Researchers warn that deepfake videos are here to stay and could become the new preferred tool for people who intend on spreading misinformation ahead of elections.
Artificial intelligence researchers have already produced some realistic deepfake videos, some even depicting former Gov. Chris Christie and Facebook CEO Mark Zuckerberg.
Democrats - Tech - Companies - Technology - Election
Democrats are especially concerned that big tech companies are not taking such technology seriously enough ahead of the 2020 election.
Researchers worry so-called deepfake videos are a new type of misinformation tool that could give one presidential candidate an advantage over another in future elections.
Awareness - Deepfakes - Wave - Misinformation - Omer
Raising awareness about deepfakes is critical for getting ahead of the new wave of misinformation, Omer Ben-Ami, co-founder of an Israeli startup called Canny AI, told the Daily Caller News Foundation. His group seeks to create an imperceptible deepfake, or a perfect lip-sync between video and audio.
Ben-Ami’s group posted a deepfake video on Instagram June 9 portraying Facebook CEO Mark Zuckerberg saying: “Imagine this for a second: One man, with total control of billions of people’s stolen data, all their secrets, their lives, their futures.” Reporters pressured Instagram to remove that video.
“One of the reasons that we collaborated with the artists was exactly to show what an early stage start-up can achieve in this field, and I think it’s obvious we don’t have the amount of funding any government has,” Ben-Ami said, referring to the Zuckerberg fake. Most of the overhead for generating deepfakes comes from costs of expensive hardware (strong CPUs and GPUs), which varies according to quality and production time, he added.
Videos - Creation - Intelligence - Researchers - Network
These videos are done through the creation of what artificial intelligence researchers call a generative adversarial network, or GAN. Videos generated using this model produce lip movements that are synchronized with the audio and exhibit facial expressions such as blinks, and eyebrow raises, among other facial tics. The...
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