🎨 Monet like Painting 👩🏻‍🎨 via Diffusion Model 👨🏻‍💻

Table of contents

• 👨🏻‍💻 Introduction
• 🎨 Kaggle Challenge

1. 👨🏻‍💻 Introduction

“Every artist dips his brush in his own soul, and paints his own nature into his pictures.” Henry Ward Beecher

We recognize the works of artists through their unique style, such as color choices or brush strokes. The “je ne sais quoi” (I do not know what) of artists like Claude Monet can now be imitated with image generation algorithms like: generative adversarial networks (GANs) and diffusion models (DMs).

In this project, we will bring that style to the photos or recreate the style from scratch via diffusion model.

2. 🎨 Kaggle Challenge

I’m Something of a Painter Myself, a kaggle challenge, was introduced back in 2020 with the aim to mimic monet style like art in a very convincing way with GANs.