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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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How Does Bitcoin Work?

Bitcoin is built on a distributed digital record called a blockchain. As the name implies, blockchain is a linked body of data, made up of units called blocks that contain information about each and every transaction, including date and time, total value, buyer and seller, and a unique identifying code for each exchange. Entries are strung together in chronological order, creating a digital chain of blocks. β€œOnce a block is added to the blockchain, it becomes accessible to anyone who wishes to view it, acting as a public ledger of cryptocurrency transactions,” says Stacey Harris, consultant for Pelicoin, a network of cryptocurrency ATMs. Blockchain is decentralized, which means it’s not controlled by any one organization. β€œIt’s like a Google Doc that anyone can work on,” says Buchi Okoro, CEO and co-founder of African cryptocurrency exchange Quidax. β€œNobody owns it, but anyone who has a link can contribute to it. And as different people update it, your copy also gets updated.”

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