GAN

[TOC] Title: GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Author: Alex Nichol et. al. Publish Year: Dec 2021 Review Date: Jan 2022 Summary of paper In author’s previous work, the diffusion model can achieve photorealism in the class-conditional setting by augmenting with classifier guidance, a technique which allows diffusion models to condition on a classifier’s labels. The classifier is first trained on noised images, and during the diffusion sampling process, gradients from the classifier are used to guide the output sample towards the label....