On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Generative models, such as GANs and diffusion models, have yet to fully incorporate the nuances of physical information. In this presentation, we address this oversight from two distinct yet opposite angles. First, we’ll showcase how incorporating physical models into GANs can enhance their control and output quality. Conversely, we’ll explore how advanced large scale diffusion models, especially Stable Diffusion, can be harnessed to discern physical attributes from natural images.
Bio:
Dr Fabio Pizzati is a postdoctoral researcher in the Torr Vision Group at the University of Oxford, working with Prof. Phil Torr. He is currently working on large scale diffusion models for image generation, and continual learning.