Synopsis: Taming Transformers for High-Resolution Image Synthesis (VQ-GAN & Transformer)

VQ-GAN & Transformer — Taming Transformers for High-Resolution Image Synthesis: Synopsis

Summary

This post summarizes the work “Taming Transformers for High-Resolution Image Synthesis” by Patrick Esser, Robin Rombach, and Björn Ommer. It highlights the key take-home messages, the scope of improvement, and the applications of this work. The article is helpful for readers interested to understand how state-of-the-art neural architectures and techniques like Convolutional Neural Network (CNN)[1], Transformers[2], Autoencoder[3], GAN[4 …

computer vision deep learning gan generative-adversarial image summary transformer transformers