ML Seminar Series

Text-to-image generative models

by Dr Luis Felipe Barba Flores (PSI)

Europe/Zurich
OFLG/402 or https://psich.zoom.us/j/68410446070?pwd=NkhFZ2dPQzVjT0NtNUxwNkl2MFhRQT09

OFLG/402 or https://psich.zoom.us/j/68410446070?pwd=NkhFZ2dPQzVjT0NtNUxwNkl2MFhRQT09

https://psich.zoom.us/j/68410446070?pwd=NkhFZ2dPQzVjT0NtNUxwNkl2MFhRQT09
Description

Abstract:

The new king of image generation is here; in the last couple of years, diffusion models have displaced GAN’s  as de facto approach to produce realistic high resolution images. With the introduction of large models like Stable Diffusion, GLIDE, DALL-E2, and Imagen, denoising diffusion probabilistic models (DDPM) have shown remarkable superiority in conditional image generation. In this talk, we will explore the history of these developments, and provide some intuition about the mechanisms used to train them.

Organised by

Laboratory for Simulation and Modelling
SDSC Hub @ PSI

Registration
Please register here:
Participants
  • Arnau Albà
  • Bastien Golomer
  • Gian Luca Orlandi
  • Guglielmo Pacifico
  • Jochem Snuverink
  • Manuel Guizar-Sicairos
  • Michael Laznovsky
  • Piero Gasparotto
  • Raphael Husistein
  • Romana Boiger
  • Sebastian Hellmann
  • Simona Bettoni
  • Spencer Bliven
  • Stephen King
  • Tomasz Kacprzak
  • Veronica Montanaro
  • Ying Chen
  • +11
Benjmain Bejar Haro