Generative Visual Manipulation on the Natural Image Manifold

https://people.eecs.berkeley.edu/~junyanz/projects/gvm/

by huskyr • 10 years ago

77 8 10 years ago

people.eecs.berkeley.edu

radarsat1• 10 years ago

https://www.youtube.com/watch?v=9c4z6YsBGQ0

Really cool, especially the morphing stuff which is amazingly convincing. On the other hand the drawing stuff, I just still can't get over the feeling that it's very similar to looking up best matches in a database, perhaps slightly morphed to better match the input. I guess that's more or less what it is..

mdsteph2• 10 years ago

The morphing is impressive. I wonder if something similar can morph between faces. It may even be possible to morph faces of parents and get something similar to the children of the parents, especially if that's set as the objective. Looking forward to release of the code.

karpathy• 10 years ago

Tom White has done a lot of fun work recently in this direction https://twitter.com/dribnet. You can absolutely do it with faces.

mdsteph2• 10 years ago

That's very cool, it's amazing what's become possible.

chestervonwinch• 10 years ago

I thought of faces as well. Police sketch artists may be out of a job soon!

dharma1• 10 years ago

Great interface interface to GANs. Nice work

throwwit• 10 years ago

Cool... Is there anyway to combine this with a seam carving approach?

junyanz• 10 years ago

Thank you guys for the interest. The interactive image generation interface as well as trained models are available at https://github.com/junyanz/iGAN. It is still under active development and let me know if you find bugs or would like to suggest new features.

Generative Visual Manipulation on the Natural Image Manifold

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