Application of Diffusion Model. Introduction

With the rapid development of various social media platforms, people have an increasing and ubiquitous need for fancy image editing. Back at times, editing still requires specialized software and labor-intensive manual operations like Photoshop. Now we can easily employ AI-based techniques which significantly lower this barrier. Deep neural networks can now produce compelling results for various low-level image editing tasks, such as image inpainting, composition, colorization, and even aesthetic enhancement by learning from richly available paired data. Diffusion models work by destroying training data by adding noise and then learning to recover the data by reversing this noise process.