Editing Faces using Artificial Intelligence

[@Ceelvain]

I miss your videos. Your channel is definitely the single best ML youtube channel I've seen. And that, by very far. Please tell us you're alive and that you'll do more videos. We miss you.

[@gigakoresh]

Why do we not get people like that in college? I just had a 2 period course about _basic_ ML techniques (linear and logistic regression, classification and basic concepts like features, labels and hypothesis space) that took 2 hours to introduce each concept and then 10+ hours of self-study, most of which was spent ploughing through insane math jargon to realize just how unnecessary it is to explain the relatively simple concepts underneath. This is 100 times more complicated and the guy just explained the whole thing in 25 minutes and I have no questions! Bravo to him, this is why online education is replacing universities. Good teachers get a chance to reach people through platforms like this.

[@ugestacoolie5998]

I know right, overcomplicating things so much, and justify in their defense that it's only "rigour" to learn this way

[@BhuwanBhatta]

This guy explains the concepts correctly. There are a lot of channels here on youtube that explain a paper based on their speculations and not facts or the information presented in the paper. You get my sub :)

[@connor-shorten]

Really impressive presentation and storytelling!

[@kwea123]

the creepy thing is, you can now find a latent code of your own face, then generate a true alter ego!

[@pixel7038]

I love your weekly updates in A.I. Henry

[@connor-shorten]

@@pixel7038 Thank you so much!!

[@milyreina204]

@@connor-shorten Hey i have a question: where can i get GAN? Is it a page or something? I don't get it 😭

[@milyreina204]

@@kwea123 Hey i have a question: where can i get GAN? Is it a page or something? I don't get it 😭

[@GustavoMeschino]

You solved in 20 minutes problems and questions I was trying to find out in weeks. Thank you.

[@milyreina204]

Hey i have a question: where can i get GAN? Is it a page or something? I don't get it 😭

[@simonescarinzi3491]

These videos are gold. Cleanly explained, let me grasp the concept even if i am an entusiast (and not an expert on the field).

[@VixerMike]

Superb - lucid, comprehensive, well-paced, and designed to for human beings, unlike so much material in this space!

[@Priya-wp6fg]

Extremely well explained where a beginner can easily get a gist of GANs and its overview. This channel is so useful who tries to read and understand ideas through papers and finds difficult to catch up to the complexity explained

[@andreabonvini]

Hands down the best GANs video I've seen on KZbin so far!

[@shmigelsky]

WOW!! That was simply excellent!!! That has to be one of the best videos on GAN's I have seen yet. Please continue doing more of these videos (with a notebook) - that is just outstanding work.

[@wallstreetboy5521]

I m glad that KZbin suggested me this channel,there are very few channels having quality content on these topics and this is the best

[@Jabrils]

I've always been a fan of Autoencoders over GANs because of all the control you get with autoencoders, but damn it appears GANs have came a long way since I last checked up on the. Amazing video Xander!

[@thatscienceguy5824]

Mah boi @Jabrils!

[@karlkastor]

VQ-VAE for the win!

[@superaluis]

There's a new autoencoder paper that leverages these ideas from StyleGan on CVPR 2020, its called Adversarial Latent autoencoders. Pretty cool Idea too

[@bahaatamer1245]

I literally wrote an AutoEncoder (with a precision error of +- 0.95) ONCE, and now it's popping up everywhere!

[@4.0.4]

It's an in-depth video, but it feels casual. It's technical, but it feels fun. It's 25 minutes but it feels short. Marvelous!

[@peremanresa5308]

Fantastic explanation and presentation. I have been learning GANs for a few days and your video is by far the best resource I have found. Keep the hard work and the good content come in. Thank you!

[@mayorc]

I've seen other video explanations of this, but they were not clear at all, expecially for people outside the deep learning environment, this was so well explained that made me make a good leap in understanding the whole process. Even the notebooks are so well curated on the accompanying informations that makes those notebooks important to keep safe. Great job, and keep it up.

[@0102030405Jacky]

A fantastic talk about GAN. A lot of ideas are incorporated. I get a great brainstorming as I watch this video

[@KaloyanChernev]

Best video on GAN & StyleGAN! You should do those more often. And I hope to see one on StyleGAN2. With such a high quality videos you should consider making an online course or something so we can help sponsor your work and creation of more videos.

[@melstm7874]

Your presentation style was superb. It made a complex topic more understandable. Thank you.

[@janikeuskirchen]

Incredible video, Xander!! Thanks so much for this. GANs are one of the most interesting topics in ML and AI at the moment. This is definitely one of the best, if not the best, video on GANs I've seen. And thanks for providing the notebook. I'm sure I will have a lot of fun messing around with it :)

[@vizdom]

Thank you! Im new to GAN's but the explanation was so intuitive and clear! Kudos and keep up the good work mate!

[@nouraalq.6062]

thank you so much for this video. i struggled to understand GANs as someone with no background in AI but your video simplified it for me.

[@anagibert2676]

this is the most amazing thing I've seen on KZbin!

[@PRUTHVIRAJRGEEB]

What a brillant video! Thanks a ton, I finally understood why the mapping network is needed and how we find the latent vector for an image :)

[@eda-un8zr]

i can not convey how i adore your diamond cellar channel

[@bakr0x]

Very impressive, this gives a really good insight & intuition into GANs. Thanks & also thanks to Ian Goodfellow and everyone who has in one way or another contributed POSITIVELY to this powerful Innovation.

[@urfinjus378]

Well done! Clear and informative! So far the best DL channel I know

[@Suprem4289]

Very good work! The notebook to play/learn with is an awesome idea. Thanks!

[@allmight9985]

It was really great. You had done really an awesome job clarifying the issues after reading the original papers. Really a great fan. Hats off to you.

[@joankim123]

I swear some college professors spends a year of lectures to convey the same amount of information that this video does in 25 mins

[@ReaperOnRepo]

Or maybe it's because you don't pay attention bro lmao

[@ugestacoolie5998]

or maybe the prof just sucks? Both ways@@ReaperOnRepo

[@alexandramalyugina4311]

So happy to see you're back! I needed a styleGAN video so much. Thank you for your great job, keep doing this!

[@mehmetoguzyardimci8598]

With the first-ever video I watched on this channel it took second place in my favorite channels list, just after the TwoMinutePapers. And boy the placement may change any moment. I cannot make a list of things done very good in this video. Thank you for the work.

[@SweetHyunho]

The efficiency of this video has gone through the roof!!!

[@ataadevs]

Perfect KZbin channel doesn't exis...

[@pooorman-diy1104]

and.somewhere inside the latent space ... there is ''coordinates'' where psychopaths and serial killers are located ... who knows..

[@dayhookah]

How is this not the top KZbin comment of all time??

[@meowzerzzz]

Anyone else looking at people that can't get the corona virus at the website before they came here?

[@vsiegel]

@@dayhookah Because the comment rating is part of the channel, it does not exist!

[@pascalemp]

Beautifully explained, you removed a lot of the uncertainty I had whilst reading the paper and have made it far easier for me to begin implementing myself!

[@jameskeeble6981]

This channel is criminally under subscribed. Keep up the good work!

[@reactorscience]

One of the best explanation of gans. The way you presented it was awesome.

[@manishbolbanda9872]

cant find any better explaination that this. Thanks a lot for all the efforts.

[@ЕгорКудрявцев-д1ъ]

The most useful channel I've even seen. You should start your Patreon page. Please keep doing what you are doing.

[@arijit07]

Hey, it's amazing. Your video totally sums up the paper. Keep posting more videos. Your explanations are far far better than siraj.

[@maolinren7292]

Best video I have watched about GAN. Great job!

[@qaseemaslam3091]

2:14 you don't have to make Emilia Clark smile... She is always smiling...

[@ErdTirdMans]

Truth

[@ambujmittal6824]

You really need to post more content. One video in 6 months is too less for such amazing content.

[@2mawi]

Great that your are back Xander ! Keep doing your videos, they are awesome !

[@hollyanne2991]

I'm lost in an Internet rabbit hole and do not understand a word of what I am watching, but I am watching anyway!!

[@sumitvaise5452]

It looks like a movie. :) Thanks a lot, you saved a lot of time for me to understand the actual paper. Now I can understand it easily and faster. Good presentation.

[@tgwashdc]

Fantastic work and clear exposition. Very close to what I wish I could do. Thanks.

[@hck1bloodday]

men love your videos, you disappeared a long time ago, thanks for coming back

[@armandolopez9684]

great video! thanks. However when running notebook II I get an error because of the tensorflow version required (1.12.2). It seems like colab made some changes recently. Do you have a fix to this?

[@ryanbroughman]

props for good notes and some humor in your notebooks. awesome

[@I77AGIC]

one of the most informative GAN videos I've seen

[@philongpham3886]

Your presentation skill is outstanding, thank you so much sir :)

[@FlorinBalanescu]

Excelent presentation, very intuitive explanations, completed by ready to play code, pre-optimized and trained? 🤯

[@chrisray1567]

This channel is so good! Thanks for sharing your code. I am excited to dive in and play with it.

[@aromax504]

One of the best KZbin channels. Is it possible for you to do a detailed hands on course for GAN???

[@karlkastor]

For some reason I previously thought that there wasn't a latent vector for most REAL images (Think: partial mode collapse). But now you show me that even cars and others stuff are possible! Brilliant video! Btw: Wouldn't getting the latent vector be much easier if you used VQ-VAE instead of the GAN, since VAE's provide an encoder? VQ-VAE generated images are pretty close in quality to GANs.

[@girishmishra]

Very nicely explained..............especially for someone who starts it afresh

[@Mac_Daffy]

Highly motivational presentation. Deserves a lot more attention. Subbed and followed you on Twitter.

[@ajitkumar15]

You are simply Great !! Thanks for such nice video on the GAN topic

[@matrixbegins]

HI Xander! You explained every complicated concept beautifully. I bet you spent a lot of time in preparations of this video. Perhaps we need another GAN to help us generate the videos that we create like this one :)

[@uddhavdave908]

Beautiful explanations! This channel is like a needle in a haystack

[@milyreina204]

Hey i have a question: where can i get GAN? Is it a page or something? I don't get it 😭

[@uddhavdave908]

@@milyreina204 GAN as the name suggest is a neural net. you can get the code on GitHUB or kaggle but depends on your use case.

[@milyreina204]

@@uddhavdave908 i still don't get it, i just want to create faces for fun 😭😂

[@RacingPepe]

I'm glad I clicked [2] on thispersondoesnotexist.com because [1] is complete gibberish to me. This video is very clear and easy to understand and you speak at an easy to understand pace. Thank you for making this.

[@mohamedayoob4699]

Been following your channel since the Variational Auto Encoders, is an actual treat to watch such educating content for free particularly for students like me.

[@danielsachkov]

Distribution without gaps is called continuous, not uniform. Uniform is a special kind of distribution. Other that that, thank you for a great video !

[@12copablo]

This is a beautiful explanation of GANs! Amazing work!

[@RubeRad]

I was so excited to try out 2. Face Editing Notebook (with pretrained networks), so I could prepare this as a project for my high school class next year. BUT it failed at the point of installing/downgradng to TFv1.12.2 and CUDA 9.0. Apparently Colab is default TFv15 now, and the oldest tensorflow-gpu its pip can see is 13.1. If you could update the notebooks, it would be so awesome!

[@gauravarya8952]

excellent presentation Arxiv Insights. Thank you very much.

[@raminonstuff]

I never leave comments but this was actually really good and so deserved a comment :)

[@TienTaioan]

Wonderful presentation! Looking forward to your other videos!

[@alexkai3727]

I've watch all the videos you have posted, and it was amazing. I hope you guys can bring more exciting videos : )

[@ArpitDhamija]

ERROR: Could not find a version that satisfies the requirement tensorflow-gpu==1.12.2, as your notebook works on this tensorflow version, but this version is outdated and not available now. What to do in this case?

[@skylar8277]

This is so scary. Was so convinced theres no way those people looked so real but didnt exist

[@ricardasist]

This is an amazing channel, please don't let this channel die, I literally just found it

[@Techning]

Awesome presentation, thanks a lot! Very helpful to get a better understanding.

[@MegaNightdude]

This video is super freaking AWESOME! Very clearly explained.

[@rahulraordr]

Very well explained. I was redirected here from a retweet of your tweet. I am impressed by the quality and content of your channel. Keep up the good work.

[@leetmann]

Awesome video please make a complete course on GANs if possible

[@arreankit]

GAN is scary af..🔥

[@SudipBishwakarma]

I accidentally stumbled on this channel today..and the rest is history 😊

[@bumuthu]

From the first insight, really impressed. Thank you!

[@not_a_human_being]

google quota exceeded now, stick your files on Google Cloud Storage (you'll have to pay a little). Or some other file sharing service. Otherwise - excellent material - excellent work, please keep doing more of such content - it's highly appreciated! :)

[@alexanderkurz2409]

Another amazing video ... thanks ... any chance of some new videos coming out on recent papers?

[@nahblue]

The GAN explanation - extremely well done. The videos at the end - terrifying!

[@milyreina204]

Hey i have a question: where can i get GAN? Is it a page or something? I don't get it 😭

[@GroundThing]

1:15 GANime... I'll be going now.

[@StateOfAI]

Could you recommend approaches that use the GAN architecture to train a DRL policy (generator) on demonstrations? (4:37)

[@benor2930]

Neat and clear as crystal. Well done!

[@MuhammadAli-mi5gg]

Hello Arxiv, thanks for great explanation.I need some help regarding SageMaker.Almost for half a week I am trying to convert a simple GAN model into script mode so that I can run training jobs ,but I cannot.Secondly I want to understand how to configure sagemaker locally ,so that we can prototype first locally, and then use the was resources. If you can help me, please let me know.

[@sahiltrivedi69]

Burh are you god how did you explain it so simply... great job keep it up :D

[@KevinCorderMusic]

Glad to see you back!

[@govindnarasimman1536]

Incredible starting point for paper. U r amazing

[@mouduge]

Excellent video, congrats Xander!

I have waited a new video a long time.

[@pradeepkumar-qo8lu]

How did I miss this channel

[@gtmeng8201]

Very clear and precise explanation, Thanks!

[@AsadKhan-js5le]

Having problm with python notebook. Google drive quota exceeded.help plz

[@codyheiner3636]

Why so memetastic man? Really brings the overall aura of the video down when you're plastering in pictures of kids on a trike captioned Fuck yes, or whatever.

[@cezannealves6926]

Sir, you just earned a bell!

[@leoisikdogan]

Great video! Can you also add a link to the GAN objective functions article you mentioned in the video? Thanks!

[@Leibniz_28]

We node more videos. You are doing a great job.

[@chemaguerra1635]

Fantastic presentation indeed

[@ayushmehta5844]

Thanks a lot man, esp for the notebooks. Great work!