4 ms·
While brilliant, I can’t stop myself from reminding the instance where another tool put Ray Gosling’s face on an image [0]. It’s fascinating, I especially enjoy
by mrtksn 5y ago
While brilliant, I can’t stop myself from reminding the instance where another tool put Ray Gosling’s face on an image [0]. It’s fascinating, I especially enjoy when AI screws up because it breaks the illusion and gives us a clue to reason how this have happened.
[0] https://news.ycombinator.com/item?id=24196650 https://news.ycombinator.com/item?id=24196650
- atdrummond 5y agoRay or Ryan? I’ve never heard of the former.
- mdp2021 5y agoWith some probability both, potentially: > CelebFaces Attributes (CelebA) Dataset [...] 10,177 unique identities, but names of identities are not given https://www.kaggle.com/jessicali9530/celeba-dataset https://www.kaggle.com/jessicali9530/celeba-dataset http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
- mrtksn 5y ago> I’ve never heard of the former. That should probably give you a clue but you can always check the source and find out if it's Ray or Ryan Gosling.
- boibombeiro 5y agoThose old face super resolution cnn were usually trained with the celebA dataset. And because celebs have above average attractiveness, so did the generated images. Also the dataset were primarly white. Creating the meme image white Obama.
- mdp2021 5y ago> Also the dataset were primarly But offers «40 binary attribute annotations per image», which the (virtual) algorithm may use for choosing a path.
- boibombeiro 5y agoI was talking about previous iterations of facial SR. After the white Obama debacle, researches included skin color as one of the parameters in the cost function.