Dave Farber
2018-09-12 08:49:55 UTC
Date: September 12, 2018 at 4:46:57 PM GMT+9
Subject: [Dewayne-Net] Researchers Come Out With Yet Another Unnerving, New Deepfake Method
[Note: This item comes from friend Judi Clark. DLH]
Researchers Come Out With Yet Another Unnerving, New Deepfake Method
By Melanie Ehrenkranz
Sep 11 2018
<https://gizmodo.com/researchers-come-out-with-yet-another-unnerving-new-de-1828977488>
Deepfakes, ultrarealistic fake videos manipulated using machine learning, are getting pretty convincing. And researchers continue to develop new methods to create these types of videos, for better or, more likely, for worse. The most recent method comes from researchers at Carnegie Mellon University, who have figured out a way to automatically transfer the âstyleâ of one person to another.
âFor instance, Barack Obamaâs style can be transformed into Donald Trump,â the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump.
The first example seenâOliver to Colbertâis far from the most realistic manipulated video out there. It looks low-res, with certain facial features blurring at certain points. Itâs almost as if youâre trying to stream an interview from the internet but you have incredibly weak wifi. The other examples (excluding the frog) are certainly more convincing, showing the deepfake mirroring the facial expression and mouth movements of the original subject.
The researchers describe the process in a paper as an âunsupervised data-driven approach.â Like other methods of developing deepfakes, this one uses artificial intelligence. The paper doesnât exclusively deal in translating talking style and facial movements from one human to anotherâit also includes examples with blooming flowers, sunrises and sunsets, and clouds and wind. For the person-to-person deepfakes, the researchers cite examples of how certain mannerisms can be transferred, including âJohn Oliverâs dimple while smiling, the shape of mouth characteristic of Donald Trump, and the facial mouth lines and smile of Stephen Colbert.â The team used videos available to the public to develop these deepfakes.
Itâs easy to see how these techniques might be applied in a more innocuous way. The example of John Oliver and the cartoon frog, for instance, points to a potentially useful tool when it comes to developing realistic, anthropomorphic animations. But as weâve seen, there are consequences to the proliferation of increasingly realistic deepfakesâand equipping bad actors with tools that make them cheap and easy to create. In time, they may dangerously mislead the public, and can serve as a nefarious tool for political propaganda.
-------------------------------------------Subject: [Dewayne-Net] Researchers Come Out With Yet Another Unnerving, New Deepfake Method
[Note: This item comes from friend Judi Clark. DLH]
Researchers Come Out With Yet Another Unnerving, New Deepfake Method
By Melanie Ehrenkranz
Sep 11 2018
<https://gizmodo.com/researchers-come-out-with-yet-another-unnerving-new-de-1828977488>
Deepfakes, ultrarealistic fake videos manipulated using machine learning, are getting pretty convincing. And researchers continue to develop new methods to create these types of videos, for better or, more likely, for worse. The most recent method comes from researchers at Carnegie Mellon University, who have figured out a way to automatically transfer the âstyleâ of one person to another.
âFor instance, Barack Obamaâs style can be transformed into Donald Trump,â the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump.
The first example seenâOliver to Colbertâis far from the most realistic manipulated video out there. It looks low-res, with certain facial features blurring at certain points. Itâs almost as if youâre trying to stream an interview from the internet but you have incredibly weak wifi. The other examples (excluding the frog) are certainly more convincing, showing the deepfake mirroring the facial expression and mouth movements of the original subject.
The researchers describe the process in a paper as an âunsupervised data-driven approach.â Like other methods of developing deepfakes, this one uses artificial intelligence. The paper doesnât exclusively deal in translating talking style and facial movements from one human to anotherâit also includes examples with blooming flowers, sunrises and sunsets, and clouds and wind. For the person-to-person deepfakes, the researchers cite examples of how certain mannerisms can be transferred, including âJohn Oliverâs dimple while smiling, the shape of mouth characteristic of Donald Trump, and the facial mouth lines and smile of Stephen Colbert.â The team used videos available to the public to develop these deepfakes.
Itâs easy to see how these techniques might be applied in a more innocuous way. The example of John Oliver and the cartoon frog, for instance, points to a potentially useful tool when it comes to developing realistic, anthropomorphic animations. But as weâve seen, there are consequences to the proliferation of increasingly realistic deepfakesâand equipping bad actors with tools that make them cheap and easy to create. In time, they may dangerously mislead the public, and can serve as a nefarious tool for political propaganda.
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