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💠 Compositional Learning Journal Club

This Week's Presentation:

🔹 Title: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

🔸 Presenter: Arash Marioriyad

🌀 Abstract:
Diffusion models have achieved significant success in text-to-image generation. However, alleviating the misalignment between text prompts and generated images remains a challenging issue.
This presentation will focus on two observed causes of misalignment: concept ignorance and concept mis-mapping. To address these issues, we will discuss CoMat, an end-to-end diffusion model fine-tuning strategy that uses an image-to-text concept matching mechanism.
Using only 20K text prompts to fine-tune SDXL, CoMat significantly outperforms the baseline SDXL model on two text-to-image alignment benchmarks, achieving state-of-the-art performance.

📄 Paper:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Session Details:
- 📅 Date: Sunday, 8 September 2024
- 🕒 Time: 3:30 - 5:00 PM (GMT+3:30)
- 🌐 Location: Online at vc.sharif.edu/ch/rohban

We look forward to your participation! ✌️



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💠 Compositional Learning Journal Club

This Week's Presentation:

🔹 Title: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

🔸 Presenter: Arash Marioriyad

🌀 Abstract:
Diffusion models have achieved significant success in text-to-image generation. However, alleviating the misalignment between text prompts and generated images remains a challenging issue.
This presentation will focus on two observed causes of misalignment: concept ignorance and concept mis-mapping. To address these issues, we will discuss CoMat, an end-to-end diffusion model fine-tuning strategy that uses an image-to-text concept matching mechanism.
Using only 20K text prompts to fine-tune SDXL, CoMat significantly outperforms the baseline SDXL model on two text-to-image alignment benchmarks, achieving state-of-the-art performance.

📄 Paper:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Session Details:
- 📅 Date: Sunday, 8 September 2024
- 🕒 Time: 3:30 - 5:00 PM (GMT+3:30)
- 🌐 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. “Once 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. “It’s like a Google Doc that anyone can work on,” says Buchi Okoro, CEO and co-founder of African cryptocurrency exchange Quidax. “Nobody 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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n the U.S. people generally use Bitcoin as an alternative investment, helping diversify a portfolio apart from stocks and bonds. You can also use Bitcoin to make purchases, but the number of vendors that accept the cryptocurrency is still limited. Big companies that accept Bitcoin include Overstock, AT&T and Twitch. You may also find that some small local retailers or certain websites take Bitcoin, but you’ll have to do some digging. That said, PayPal has announced that it will enable cryptocurrency as a funding source for purchases this year, financing purchases by automatically converting crypto holdings to fiat currency for users. “They have 346 million users and they’re connected to 26 million merchants,” says Spencer Montgomery, founder of Uinta Crypto Consulting. “It’s huge.”

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