Research at NVIDIA: Video to Video Synthesis
Deep Video Portraits
The strange, creepy world of “deepfakes,” videos (often explicit) with the faces of the subjects replaced by those of celebrities, set off alarm bells just about everywhere early this year.
And in case you thought that sort of thing had gone away because people found it unethical or unconvincing, the practice is back with the highly convincing “Deep Video Portraits,” which refines and improves the technique.
You can read the full article on TechCrunch…
A viral video now viewed by millions appears to show former President Obama – but it turns out actually to be an effort by “Get Out” director Jordan Peele to educate the public about “deep fakes” made with artificial intelligence. NBC’s Gadi Schwartz reports for TODAY.
You can watch the discussion on Today…
and here’s the full video they talk about
New conspiracies over YouTube shooting are dangerously built on a real threat
The video in question, “Y Does the Youtube Shooter Looks Like An A.I. Computer Program?” has only garnered around 86,000, views but it’s still quite a weird one, suggesting that Aghdam is actually an AI creation.
And this is where a conspiracy can often turn dangerous, by including a kernel of truth. Because these face-swapped/fake AI videos — called deepfakes — are, indeed, a real thing and a real problem.
You can read the full article on Mashable…
“What up, YouTube Peeps! Have you ever heard of Face Swap technology?”
Video by Tony Baker comedy
Video by by Just in AU
‘Deep fakes’: Sorting fact from fiction in the fake-Obama video era
It always starts with porn. What first revealed the internet’s power to distribute information? The immense and immediate explosion of adult content, of course.
Machine learning is a field of computer science that gives computer systems the ability to “learn” with data, without being explicitly programmed.
The name Machine learning was coined in 1959 by Arthur Samuel. Wikipedia
Here’s a good video that makes the process understandable.
Video by Siraj Raval
There’s a new trend on the interwebs called ‘Deepfakes’, a machine learning system that can be trained to paste one person’s face onto another person’s body, complete with facial expressions.
The effect isn’t yet more convincing than conventional computer graphics techniques, but it could democratize Hollywood-level special effects fakery — and, potentially, lead to a flood of convincing hoaxes.
I’ll explain how DeepFakes works both programmatically and theoretically in this video. It’s essentially 2 autoencoders trained on 2 image datasets and then we reconstruct image A using image B’s decoder.
Code for this video (with coding challenge): https://github.com/llSourcell/deepfakes