Your Daily AI Research tl;dr - 2022-11-04 ??

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.

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1?? eDiffi: Text-to-Image Diffusion Models with Ensemble of Expert Denoisers

eDiffi is a new generation of generative AI content creation tool that offers unprecedented text-to-image synthesis with instant style transfer and intuitive painting with words capabilities.

Learn more in my video!

Link to the paper: https://arxiv.org/abs/2211.01324

2?? [Sponsored] Create your own animated GIFs with Stable Diffusion and Colab! No coding required!

This Colab Notebook from?Comet ML?lets you create your own GIFs with Stable Diffusion, and saves your prompts and generated images so that you never lose track of your work!

Try it out for yourself!

Learn More about the Notebook here

3?? ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations

They introduce ImageNet-X, a set of sixteen human annotations of factors such as pose, background, or lighting the entire ImageNet-1k validation set as well as a random subset of 12k training images in order to study the types of mistakes as a function of model's (1) architecture, e.g. transformer vs. convolutional, (2) learning paradigm, e.g. supervised vs. self-supervised, and (3) training procedures, e.g., data augmentation.

Link to the paper: https://arxiv.org/pdf/2211.01866.pdf

Join the discussion with fellow AI enthusiasts

?? DALLE is now available to the public! Is it too late?

OpenAI just released DALLE 2 beta version to the public, finally. Is it too late with the progress of open-source approaches like stable diffusion? Are you still interested in using a product-based generative model like DALLE or would rather go for stable diffusion?

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Thank you for reading,

Louis