Which Face Is Real?

http://www.whichfaceisreal.com/

by tom_mellior • 7 years ago

76 57 7 years ago

cdoxsey• 7 years ago

Seems like the best way to tell is to not actually look at the face so much as the details around it. There are often obvious glitches in the background.

vtange• 7 years ago

You can also often find unnatural hairs/wrinkles/pigmentation around the forehead/neck if you look closely.

ConceptJunkie• 7 years ago

Yes, using these clues I was able to go about 15 or 20 times before getting one wrong... and the one I got wrong was one I was very unsure about.

jules• 7 years ago

I got 10 out of 10 correct without looking at the features around the face. It's easy to spot the fake one by wrinkles going the wrong way, or obvious artifacts like incomplete earrings. It's close to being impossible for me to tell, though, if they fixed those issues.

asteli• 7 years ago

My method was more intuitive than that. There's more detail on the real faces, the fake ones look slightly brushed over. If it wasn't an A/B test, I'd fall for the fakes every time, however.

laszlokorte• 7 years ago

And some of the real photos have additional accessoirs like a hat, sunglasses, ear rings but none of the fakes seem to have them. I clicked through 30 picture pairs and had 28 of them right without thinking more than 1 second for each.

pbhjpbhj• 7 years ago

I looked at 3 and saw hats, spectacles, and earrings.

One of the fakes had specs; one had earrings and a hat and a partial of another person next to them (that one fooled me as the real photo was crazy, a mortar board with a coloured and unfeasibly large tassel).

flyGuyOnTheSly• 7 years ago

Came here to say the same thing, but the fact remains that the fake faces are indeed quite convincing!

Perhaps they could improve the deception by simply cropping out 100% of the background.

the8472• 7 years ago

They could easily solve this by blurring the background.

kozikow• 7 years ago

Background, teeth, hair, edges are giveaways. I easily got 10/10 right.

ZenPsycho• 7 years ago

My strategy was to pay attention to the lighting conditions. the fake ones fall within a recognisable averaged out distribution, and a photo with lighting that is an "outlier" is easy to spot as real. E.G. Dark blue mood lighting. Overexposed features. Glare in the eyes.

a lot of the fake ones also have a recognisable skin gloss.

goda90• 7 years ago

I think a better game would be to show several faces, and have the user pick which one(s) are not real. With just a side by side of a real vs fake, it's pretty easy to tell from contextual clues.

theresistor• 7 years ago

My favorite fake was a very plausible looking professional headshot... with a patchy 5 o'clock shadow. The GAN behind this clearly hasn't figured out that while well-groomed beards are acceptable in headshots, patchy shadows are not.

dbieber• 7 years ago

I hope they're collecting data on how long it takes someone to answer, not just whether people answer correctly or incorrectly.

jcims2• 7 years ago

It would be good to let folks scribble on the tells. I had to resort to earring comparison a few times to break a tie on facial features.

ErikAugust• 7 years ago

Next up: HotOrNot for GAN faces.

jcims2• 7 years ago

Or catfish as a service

1auralynn• 7 years ago

The giveaways are weird-looking teeth and background artifacts.

ddebernardy• 7 years ago

The game is somewhat simple to beat. Just pick the quirky face -- i.e. the one couldn't realistically be generated using a combination of a collection of faces. A blurrier background is sometimes a giveaway too.

The game would be harder if the real faces were less asymmetrical in detail (no hats, etc.). And a lot harder if you needed to pick all of the real (or fake) faces, rather than pick the real one knowing the other is false.

IncRnd• 7 years ago

It appears that the picture with a detailed background is the picture of a real person. I choose a sequence of pictures, without looking at the faces, and I was able to use only the background correctly answer each time.

wanderfowl• 7 years ago

This is really neat, but pupil roundness is a dead giveaway here.

eddietejeda• 7 years ago

Impressive. But, the one that loads first is always the real person. The teeth for generated faces often look weird.

runjake• 7 years ago

But, the one that loads first is always the real person

I tested your theory and the loading order was a mixed bag. The first loaded definitely isn't the real person. It's about 50/50 here.

dzek69• 7 years ago

depends on location

it's a pity that one image is progressive jpeg and another is baseline

this makes me always see which one is real

gambler• 7 years ago

I've worked with 2D graphics quite a bit and I've often used anisotropic smoothing[1]. GAN images have similar artifacts (probably worth thinking about, btw), which are trivial to spot if you know what you're looking for. They look like waves on water[2].

One could mask these artifacts by blurring, adding noise or downscaling further.

[1] https://authors.library.caltech.edu/6498/1/PERieeetpami90.pd...

[2] Extreme example: https://c1.staticflickr.com/9/8449/8048065891_7fab061307.jpg

vicarrion• 7 years ago

Knowing that one is fake you can take the time to pick it out, but these could easily pass as real photos in a context where you're not looking for them.

noiv• 7 years ago

Am I an introvert if trust my image manipulation know-how and purpose detection sensor array more than my human instincts in the quest this web site proposes?

deadmik3• 7 years ago

the real one loads almost instantly and the generated one takes noticeably more time. you should preload them both because it became obvious pretty quickly

tgb• 7 years ago

There's a super easy machine learning algorithm to generate faces: nearest neighbor.

Joking aside, how do I know they're not doing this? I don't have their dataset so are these people really very "novel" or just slightly messed up existing photos? I have the same concerns with recent writing AI that's been making headlines. It's too good and I swear it's just copying a couple sentences from here and a couple from there, or near enough so as to make no difference.

Someone• 7 years ago

They likely use https://github.com/NVlabs/stylegan. NVidia recently released it, and suddenly sites like this one and https://thiscatdoesnotexist.com pop up.

void_nill• 7 years ago

I have tried it 50 times and had only three wrong answers. The best method _in this case_ to recognize a fake face is to look at the background. In many cases you can see considerable disturbances.

berbec• 7 years ago

The ML seems to not generate backgrounds that are as realistic. That's gotten me to 12 in a row.

anjc• 7 years ago

It's interesting how, aside from a few infrequent and slight glitches, the artificial faces look perfect, but yet we still intuitively know which one is real based on lots of other cues (the background, the pose etc).

danlugo92• 7 years ago

This one was easy, look at that headgear! hahaha.

http://www.whichfaceisreal.com/fakeimages/image-2019-02-17_1...

vokep• 7 years ago

Seem's it couldn't decide between hair or beanie, so it just went with both

afpx• 7 years ago

The fake images would look a more real if they just post-processed them through one of the popular face-enhancing apps.

wuxb• 7 years ago

I keep getting it right after the first failure. And my brain learned it very quick: (1) The background is distorted. (2) Their eyes are open but their irises are not round enough.

ThePadawan• 7 years ago

I found a reliable criterion to be "Does this person have a consistent eye line?", i.e. do their eyes indicate they are focusing roughly at the camera distance.

I would assume that that is a bias of the "real" photographs, because who would keep a picture where the subject doesn't look at the camera.

dragonwriter• 7 years ago

who would keep a picture where the subject doesn't look at the camera.

Anyone shooting candids; even lots of portraits have the subject looking off into the distance or somewhere else other than at the camera. I mean, sure, if your are shooting for a photo ID, you won't keep a shot that isn't directly looking at the camera, but...

(Which isn't to say it's not a real bias in genuine photos, just not as absolute as you seem to suggest it should be expected to be.)

jalgos_eminator• 7 years ago

http://www.whichfaceisreal.com/results.php?r=0&p=0&i1=fakeim...

I wonder where they get their real images from...

Johnny555• 7 years ago

I got 5/5 just by looking at lighting, including the background -- the pictures with the better lighting were fake.

danbee• 7 years ago

I don't know if this is true for anybody else, but the real image always loads first.

ackbar03• 7 years ago

So nvidia opens source the code and everyone's suddenly scraping something together from it on the web...

kisstheblade• 7 years ago

Well maybe this "face" is real but it isn't a "person". I hope, or maybe I'm getting too old :)

http://www.whichfaceisreal.com/results.php?r=0&p=0&i1=fakeim...

Gpetrium• 7 years ago

I noticed a lot of folks in here are putting the emphasis on the 'this is how I spotted the fake' which is extremely valuable on its own, however, have you thought about the potential practical outcomes and unintended consequences.

Its amazing to think about the implications of being able to create faces that look real. It can have an impact on police questionnaires, future holograms, may be used to adulterate security camera's data and so many others. I wonder if we will be able to keep up with the changes in technology to protect what society holds dear.

CodeCube2• 7 years ago

re: security camera data ... just look at DeepFakes. The train has already left the station there

CodeCube2• 7 years ago

Am I the only one who assumes the people running this site are using the data to feed/teach the algorithm to be more accurate in the future? Like, any time the 'fake' face gets chosen, it gets added to the training dataset of what 'works'.

ElijahLynn2• 7 years ago

http://www.whichfaceisreal.com/methods.html

"On this website, we present pairs of images: a real one from the FFHQ collection, and a synthetic one, as generated by the StyleGAN system and posted to thispersondoesnotexist.com, an web-based demonstration of the StyleGan system that posts a new artificial image every 2 seconds."

0db532a0• 7 years ago

Reminds me of a website I came across years ago where you had to tell a paedophile from a computer science professor. It really was sometimes quite different to tell.

echlebek• 7 years ago

I never picked a wrong answer, even after 15 tries, but the generated faces certainly look convincing.

ElijahLynn2• 7 years ago

This is part of the project Calling Bullshit, a course on calling bullshit.

https://callingbullshit.org/syllabus.html

rilut• 7 years ago

The fake faces are mostly looks flatter (no facial wrinkle at all) than the original face or sometimes has too much wrinkles

jslabovitz• 7 years ago

I'll go out on a personal limb here and say that I mostly failed in my guesses, with perhaps 80% incorrect.

I have some degree of faceblindness (often can't recognize someone I know well if they've changed something like makeup or hairstyle or clothing), as well as difficulty in picking up nonverbal cues. I wonder whether brain differences like this might affect image recognition?

p3nt3ll3r• 7 years ago

There is a lag - the generated one comes second.

abbiya• 7 years ago

http://www.whichfaceisreal.com/realimages/

http://www.whichfaceisreal.com/fakeimages/

Which Face Is Real?

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