3 ms·

I'm new to this how "This X Does Not Exist" thing ("This Person Does Not Exist" in seems especially impressive). It seems like this images are generated through

by kuss 8y ago

I'm new to this how "This X Does Not Exist" thing ("This Person Does Not Exist" in seems especially impressive). It seems like this images are generated through some Machine Learning Magic(TM), but could anyone here give a rundown of how it all actually works? These all seem freaky good for something generated by a computer.

gwern 8y ago
https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan https://arxiv.org/abs/1812.04948 https://arxiv.org/abs/1812.04948 https://www.youtube.com/watch?v=kSLJriaOumA https://www.youtube.com/watch?v=kSLJriaOumA https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/ https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... https://www.youtube.com/watch?v=1ct_P3IZow0 https://www.youtube.com/watch?v=1ct_P3IZow0
- guessmyname 8y ago
  I fixed the format for you: • https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan • https://arxiv.org/abs/1812.04948 https://arxiv.org/abs/1812.04948 • https://www.youtube.com/watch?v=kSLJriaOumA https://www.youtube.com/watch?v=kSLJriaOumA • https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/ https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... • https://www.youtube.com/watch?v=1ct_P3IZow0 https://www.youtube.com/watch?v=1ct_P3IZow0
GolDDranks 8y ago
They are generated by Generative Adversarial Networks. Have you heard about convolutional networks? They are neural networks that are especially well-suited for problems that have spatial structure (such as 2D images) and translational invariance (a face is a face, no matter of its coordinates in the picture). Generative Adversarial Networks, or GANs for short is an architecture that arranges an image-generating network and fake-detecting network in a competitive situation. That makes them co-evolve towards generating pictures that are harder and harder to distinguish from the real ones.
- kuss 8y ago
  Wow, that's really interesting! I've heard a bit about convolutional networks, but I've never heard of pitting two systems against each other like that. Thanks for taking the time to write that out.

by kuss 8y ago

gwern 8y ago

https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan https://arxiv.org/abs/1812.04948 https://arxiv.org/abs/1812.04948 https://www.youtube.com/watch?v=kSLJriaOumA https://www.youtube.com/watch?v=kSLJriaOumA https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/ https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... https://www.youtube.com/watch?v=1ct_P3IZow0 https://www.youtube.com/watch?v=1ct_P3IZow0

guessmyname 8y ago
I fixed the format for you: • https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan • https://arxiv.org/abs/1812.04948 https://arxiv.org/abs/1812.04948 • https://www.youtube.com/watch?v=kSLJriaOumA https://www.youtube.com/watch?v=kSLJriaOumA • https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/ https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... • https://www.youtube.com/watch?v=1ct_P3IZow0 https://www.youtube.com/watch?v=1ct_P3IZow0

GolDDranks 8y ago

They are generated by Generative Adversarial Networks. Have you heard about convolutional networks? They are neural networks that are especially well-suited for problems that have spatial structure (such as 2D images) and translational invariance (a face is a face, no matter of its coordinates in the picture). Generative Adversarial Networks, or GANs for short is an architecture that arranges an image-generating network and fake-detecting network in a competitive situation. That makes them co-evolve towards generating pictures that are harder and harder to distinguish from the real ones.

kuss 8y ago
Wow, that's really interesting! I've heard a bit about convolutional networks, but I've never heard of pitting two systems against each other like that. Thanks for taking the time to write that out.