Stories
Slash Boxes
Comments

SoylentNews is people

posted by Fnord666 on Friday December 14 2018, @05:20PM   Printer-friendly
from the generating-style dept.

Some folks at NVIDIA have developed a "style-based generator architecture for generative adversarial networks", borrowing from "style transfer literature". It has been demonstrated to generate remarkably realistic (and fictitious) human faces. As impressive as it is, it's not obvious the extent to which the demonstration of this architecture is like a little old lady who only drove it to church on Sundays. Regardless, it looks like the AI overlords can now have alleged supermodel girlfriends in Canada too:

The video demonstration is at https://www.youtube.com/

Their explanation/description is at https://arxiv.org/pdf/1812.04948.pdf


Original Submission

 
This discussion has been archived. No new comments can be posted.
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
  • (Score: 2) by crafoo on Friday December 14 2018, @05:55PM (2 children)

    by crafoo (6639) on Friday December 14 2018, @05:55PM (#774485)

    The future sure is rushing up on us pretty fast these days. I suppose this could be applied to a 3D modeled mesh of various faces (and bodies) as well, but the training sets would have to be fully 3D modeled.

    Starting Score:    1  point
    Karma-Bonus Modifier   +1  

    Total Score:   2  
  • (Score: 0) by Anonymous Coward on Friday December 14 2018, @07:03PM

    by Anonymous Coward on Friday December 14 2018, @07:03PM (#774513)

    The SOTA is pretty good for portrait to 3D model (including hair), so these images could just be plugged into that.

  • (Score: 2) by takyon on Friday December 14 2018, @08:36PM

    by takyon (881) <reversethis-{gro ... s} {ta} {noykat}> on Friday December 14 2018, @08:36PM (#774549) Journal

    Check out Two Minute Papers [youtube.com]. Then keep checking it out every week.

    --
    [SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]