Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-005-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-005-alpha.b-cdn.net
      • sl-yoda-v2-stream-005-beta.b-cdn.net
      • 1034628162.rsc.cdn77.org
      • 1409346856.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?

            Jul 24, 2023

            Speakers

            VB

            Victor Boutin

            Speaker · 0 followers

            TF

            Thomas Fel

            Speaker · 0 followers

            LS

            Lakshya Singhal

            Speaker · 0 followers

            About

            An important milestone for AI is the development of algorithms that can produce drawings that are indistinguishable from those of humans. Here, we adapt the ”diversity vs. recognizability” scoring framework from Boutin et al (2022) and find that one-shot diffusion models have indeed started to close the gap between humans and machines. However, using a finer-grained measure of the originality of individual samples, we show that strengthening the guidance of diffusion models helps improve the hum…

            Organizer

            I2
            I2

            ICML 2023

            Account · 657 followers

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Interested in talks like this? Follow ICML 2023