Computer Vision

A Brief Exploration to Variational Autoencoder (VAE) with Code Implementation

Learn variational autoencoder (VAE) by reading and analyzing the paper: “Auto-Encoding Variational Bayes”. This post will introduce the basic work of VAE, including the derivation of formulas and simple code verification.

A Brief Exploration to Diffusion Probabilistic Models with Code Implementation

Learn diffusion probabilistic models (DPM) by reading and analyzing the papers: “Deep Unsupervised Learning using Nonequilibrium Thermodynamics” and “Denoising Diffusion Probabilistic Models”. This post will introduce the basic work of DPM, including the derivation of formulas and simple code verification.