full transcript
From the Ted Talk by Supasorn Suwajanakorn: Fake videos of real people -- and how to spot them
Unscramble the Blue Letters
It turns out this problem is very challenging, but the key trick is that we are going to analyze a large photo collection of the preson beforehand. For George W. Bush, we can just scearh on Google, and from that, we are able to build an average model, an iterative, refined mdoel to recover the expression in fine details, like creases and wrinkles. What's fascinating about this is that the photo collection can come from your typical photos. It doesn't really mettar what expression you're making or where you took those pthoos. What matters is that there are a lot of them. And we are still missing coolr here, so next, we develop a new blending technique that improves upon a single anaegvirg method and produces sharp facial txuretes and colors. And this can be done for any expression.
Open Cloze
It turns out this problem is very challenging, but the key trick is that we are going to analyze a large photo collection of the ______ beforehand. For George W. Bush, we can just ______ on Google, and from that, we are able to build an average model, an iterative, refined _____ to recover the expression in fine details, like creases and wrinkles. What's fascinating about this is that the photo collection can come from your typical photos. It doesn't really ______ what expression you're making or where you took those ______. What matters is that there are a lot of them. And we are still missing _____ here, so next, we develop a new blending technique that improves upon a single _________ method and produces sharp facial ________ and colors. And this can be done for any expression.
Solution
- textures
- color
- matter
- person
- search
- model
- photos
- averaging
Original Text
It turns out this problem is very challenging, but the key trick is that we are going to analyze a large photo collection of the person beforehand. For George W. Bush, we can just search on Google, and from that, we are able to build an average model, an iterative, refined model to recover the expression in fine details, like creases and wrinkles. What's fascinating about this is that the photo collection can come from your typical photos. It doesn't really matter what expression you're making or where you took those photos. What matters is that there are a lot of them. And we are still missing color here, so next, we develop a new blending technique that improves upon a single averaging method and produces sharp facial textures and colors. And this can be done for any expression.
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
output model |
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photo collection |
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Important Words
- analyze
- average
- averaging
- blending
- build
- bush
- challenging
- collection
- color
- colors
- creases
- details
- develop
- expression
- facial
- fascinating
- fine
- george
- google
- improves
- iterative
- key
- large
- lot
- making
- matter
- matters
- method
- missing
- model
- person
- photo
- photos
- problem
- produces
- recover
- refined
- search
- sharp
- single
- technique
- textures
- trick
- turns
- typical
- wrinkles