Telegram Group & Telegram Channel
πŸ’  Compositional Learning Journal Club

Join us this week for an in-depth discussion on Compositional Learning in the context of cutting-edge text-to-image generative models. We will explore recent breakthroughs and challenges, focusing on how these models handle compositional tasks and where improvements can be made.

βœ… This Week's Presentation:

πŸ”Ή Title: Correcting Diffusion Generation through Resampling


πŸ”Έ Presenter: Ali Aghayari

πŸŒ€ Abstract:
This paper addresses distributional discrepancies in diffusion models, which cause missing objects in text-to-image generation and reduced image quality. Existing methods overlook this root issue, leading to suboptimal results. The authors propose a particle filtering framework that uses real images and a pre-trained object detector to measure and correct these discrepancies through resampling. Their approach improves object occurrence by 5% and FID by 1.0 on MS-COCO, outperforming previous methods in generating more accurate and higher-quality images.


πŸ“„ Papers: Correcting Diffusion Generation through Resampling


Session Details:
- πŸ“… Date: Tuesday
- πŸ•’ Time: 5:30 - 6:30 PM
- 🌐 Location: Online at vc.sharif.edu/ch/rohban

We look forward to your participation! ✌️



tg-me.com/RIMLLab/157
Create:
Last Update:

πŸ’  Compositional Learning Journal Club

Join us this week for an in-depth discussion on Compositional Learning in the context of cutting-edge text-to-image generative models. We will explore recent breakthroughs and challenges, focusing on how these models handle compositional tasks and where improvements can be made.

βœ… This Week's Presentation:

πŸ”Ή Title: Correcting Diffusion Generation through Resampling


πŸ”Έ Presenter: Ali Aghayari

πŸŒ€ Abstract:
This paper addresses distributional discrepancies in diffusion models, which cause missing objects in text-to-image generation and reduced image quality. Existing methods overlook this root issue, leading to suboptimal results. The authors propose a particle filtering framework that uses real images and a pre-trained object detector to measure and correct these discrepancies through resampling. Their approach improves object occurrence by 5% and FID by 1.0 on MS-COCO, outperforming previous methods in generating more accurate and higher-quality images.


πŸ“„ Papers: Correcting Diffusion Generation through Resampling


Session Details:
- πŸ“… Date: Tuesday
- πŸ•’ Time: 5:30 - 6:30 PM
- 🌐 Location: Online at vc.sharif.edu/ch/rohban

We look forward to your participation! ✌️

BY RIML Lab




Share with your friend now:
tg-me.com/RIMLLab/157

View MORE
Open in Telegram


RIML Lab Telegram | DID YOU KNOW?

Date: |

Telegram today rolling out an update which brings with it several new features.The update also adds interactive emoji. When you send one of the select animated emoji in chat, you can now tap on it to initiate a full screen animation. The update also adds interactive emoji. When you send one of the select animated emoji in chat, you can now tap on it to initiate a full screen animation. This is then visible to you or anyone else who's also present in chat at the moment. The animations are also accompanied by vibrations. This is then visible to you or anyone else who's also present in chat at the moment. The animations are also accompanied by vibrations.

Traders also expressed uncertainty about the situation with China Evergrande, as the indebted property company has not provided clarification about a key interest payment.In economic news, the Commerce Department reported an unexpected increase in U.S. new home sales in August.Crude oil prices climbed Friday and front-month WTI oil futures contracts saw gains for a fifth straight week amid tighter supplies. West Texas Intermediate Crude oil futures for November rose $0.68 or 0.9 percent at 73.98 a barrel. WTI Crude futures gained 2.8 percent for the week.

RIML Lab from sa


Telegram RIML Lab
FROM USA