
Kaggle Competition Report: Stable Diffusion
How do you invert the text-to-image generation by Stable Diffusion? Let's take a look at the solutions by the winning teams.
8 posts

How do you invert the text-to-image generation by Stable Diffusion? Let's take a look at the solutions by the winning teams.

HuBMAP + HPA was a competition on image segmentation with a twist in how to split the dataset. How did winners approach this problem?

Two ways to calculate color histogram: OpenCV-based and PyTorch-based.

The ability of StyleGAN to generate super-realistic images has been inspiring many application works. To have some sort of organized view on them, this post covers important papers with a focus on image manipulation.

The Kaggle SETI competition has ended. Did kagglers succeed in finding aliens? Let's see.

Let's re-inplement face swapping in 10 minutes! This post shows a naive solution using a pre-trained CNN and OpenCV.

Lightweight GAN has opened the way for generating fine images with ~100 training samples and affordable computing resources. This post presents "This Sushi Does Not Exist" and how I built it with GAE.

Want to generate realistic images with a single GPU? This post demonstrates how to downsize StyleGAN2 with slight performance degradation.