The AI Monthly Top 3 — January 2021
What happened in the AI research in January 2021. The 3 most interesting papers!
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!
DALL·E: Generate Images from Text Captions! Inspired by GPT-3 and Image-GPT from OpenAI 
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.
The AI-Powered Online Fitting Room: VOGUE 
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.
Combining the Transformers Expressivity with the CNNs Efficiency for High-Resolution Image Synthesis 
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.
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 Aditya RameshMikhail PavlovGabriel GohScott Gray, OpenAI, Dall·E (2021).
 Lewis, Kathleen M et al., (2021), VOGUE: Try-On by StyleGAN Interpolation Optimization.
 Taming Transformers for High-Resolution Image Synthesis, Esser et al., 2020.