Real Pokemon 正A Never seen by machine！ Cover 50% iIt is difficult to evaluate generation. 15 Cover 75% 1 15
Real Pokémon Cover 50% Cover 75% It is difficult to evaluate generation. Never seen by machine!
Pokemon Creation Drawing from scratch Need some randomness
Pokémon Creation Drawing from scratch Need some randomness
Ref:Aaron van den Oord,Nal Kalchbrenner,Koray Pixe RNN Kavukcuoglu,Pixel Recurrent Neural Networks, arXiv preprint,2016 Real World
PixelRNN Real World Ref: Aaron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu, Pixel Recurrent Neural Networks, arXiv preprint, 2016
More than images output。0000OO●。o Hidden OOOOOOOOOOOO Layer Hidden 00OOOO○00000OO Layer Hidden Layer 1 00000OOOOOOO○O InputOOOOOOOOOOOOOOOO Audio:Aaron van den Oord,Sander Dieleman,Heiga Zen,Karen Simonyan,Oriol Vinyals,Alex Graves,Nal Kalchbrenner,Andrew Senior,Koray Kavukcuoglu, WaveNet:A Generative Model for Raw Audio,arXiv preprint,2016 Video:Nal Kalchbrenner,Aaron van den Oord,Karen Simonyan,Ivo Danihelka,Oriol Vinyals,Alex Graves,Koray Kavukcuoglu,Video Pixel Networks, arXiv preprint,2016
More than images …… Audio: Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu, WaveNet: A Generative Model for Raw Audio, arXiv preprint, 2016 Video: Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu, Video Pixel Networks , arXiv preprint, 2016
Generative Models Component-by-component Autoencoder Generative Adversarial Network (GAN)
Generative Models Component-by-component Autoencoder Generative Adversarial Network (GAN)