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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: InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

πŸ”Έ Presenter: Amir Kasaei

πŸŒ€ Abstract:
Recent advancements in diffusion models, like Stable Diffusion, have shown impressive image generation capabilities, but ensuring precise alignment with text prompts remains a challenge. This presentation introduces Initial Noise Optimization (InitNO), a method that refines initial noise to improve semantic accuracy in generated images. By evaluating and guiding the noise using cross-attention and self-attention scores, the approach effectively enhances image-prompt alignment, as demonstrated through rigorous experimentation.


πŸ“„ Paper: InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

Session Details:
- πŸ“… Date: Sunday
- πŸ•’ Time: 5:00 - 6:00 PM
- 🌐 Location: Online at vc.sharif.edu/ch/rohban


We look forward to your participation! ✌️



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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: InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

πŸ”Έ Presenter: Amir Kasaei

πŸŒ€ Abstract:
Recent advancements in diffusion models, like Stable Diffusion, have shown impressive image generation capabilities, but ensuring precise alignment with text prompts remains a challenge. This presentation introduces Initial Noise Optimization (InitNO), a method that refines initial noise to improve semantic accuracy in generated images. By evaluating and guiding the noise using cross-attention and self-attention scores, the approach effectively enhances image-prompt alignment, as demonstrated through rigorous experimentation.


πŸ“„ Paper: InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

Session Details:
- πŸ“… Date: Sunday
- πŸ•’ Time: 5:00 - 6:00 PM
- 🌐 Location: Online at vc.sharif.edu/ch/rohban


We look forward to your participation! ✌️

BY RIML Lab




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What is Telegram Possible Future Strategies?

Cryptoassets enthusiasts use this application for their trade activities, and they may make donations for this cause.If somehow Telegram do run out of money to sustain themselves they will probably introduce some features that will not hinder the rudimentary principle of Telegram but provide users with enhanced and enriched experience. This could be similar to features where characters can be customized in a game which directly do not affect the in-game strategies but add to the experience.

Telegram Be The Next Best SPAC

I have no inside knowledge of a potential stock listing of the popular anti-Whatsapp messaging app, Telegram. But I know this much, judging by most people I talk to, especially crypto investors, if Telegram ever went public, people would gobble it up. I know I would. I’m waiting for it. So is Sergei Sergienko, who claims he owns $800,000 of Telegram’s pre-initial coin offering (ICO) tokens. β€œIf Telegram does a SPAC IPO, there would be demand for this issue. It would probably outstrip the interest we saw during the ICO. Why? Because as of right now Telegram looks like a liberal application that can accept anyone - right after WhatsApp and others have turn on the censorship,” he says.

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