The AI Monthly Top 3 — January 2021

What happened in the AI research in January 2021. The 3 most interesting papers!

The AI Monthly Top 3 — January 2021

Here are the 3 most interesting research papers of the month, in case you missed any of them. It is a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read, and let me know if I missed any important papers in the comments, or by contacting me directly on LinkedIn!

Paper #1:

DALL·E: Generate Images from Text Captions! Inspired by GPT-3 and Image-GPT from OpenAI [1]

OpenAI successfully trained a network able to generate images from text captions. It is very similar to GPT-3 and Image GPT and produces amazing results.

DALL·E: Generate Images from Text Captions! Inspired by GPT-3 and Image-GPT from OpenAI
DALL-E is a new neural network developed by OpenAI based on GPT-3.In fact, it’s a smaller version of GPT-3 using 12-billion parameters instead of 175 billion. But it has been specifically trained to…

Paper #2:

The AI-Powered Online Fitting Room: VOGUE [2]

Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you want using only an image of yourself.

The AI-Powered Online Fitting Room: VOGUE
A team of researchers from Google, MIT, and the University of Washington recently published a paper called “VOGUE: Try-On by StyleGAN Interpolation Optimization”. They use a GAN architecture to…

Paper #3:

Combining the Transformers Expressivity with the CNNs Efficiency for High-Resolution Image Synthesis [3]

Tl;DR: They combined the efficiency of GANs and convolutional approaches with the expressivity of transformers to produce a powerful and time-efficient method for semantically-guided high-quality image synthesis.

Combining the Transformers Expressivity with the CNNs Efficiency for High-Resolution Image…
You’ve probably heard of iGPT, or Image-GPT recently published by OpenAI that I covered on my channel. It is the state-of-the-art generative transformer model. OpenAI used the transformer…

Code: https://github.com/CompVis/taming-transformers

More from me:

References

[1] Aditya RameshMikhail PavlovGabriel GohScott Gray, OpenAI, Dall·E (2021).

[2] Lewis, Kathleen M et al., (2021), VOGUE: Try-On by StyleGAN Interpolation Optimization.

[3] Taming Transformers for High-Resolution Image Synthesis, Esser et al., 2020.