PinnedLuc FrachonNeural Radiance Fields from Scratch (Part I)Neural Radiance Fields are a very cool class of models for rendering arbitrary views from 3D scenes, given only a limited number of…Mar 8, 2023Mar 8, 2023
Luc FrachonNeural Radiance Fields from Scratch (Part II) — From Theory to PracticeIn Part I, we covered the theory behind Neural Radiance Fields (NeRFs) and explained how the model is trained. This time, we explore the…Apr 24, 2023Apr 24, 2023
Luc FrachonThe Intuitive Diffusion Model (Part 2)In this series, we are trying to reach a (mostly) qualitative understanding of how diffusion models work by skipping much of the math and…Jan 10, 2023Jan 10, 2023
Luc FrachonThe Intuitive Diffusion Model (Part 1)An intuitive peek under the hood of diffusion models, which power the most exciting image generation tools available today.Dec 15, 2022Dec 15, 2022
Luc FrachonAnomaly Detection Using a Variational Autoencoder, Part IIPart II: ImplementationNov 28, 20222Nov 28, 20222
Luc FrachonAnomaly Detection Using a Variational Autoencoder, Part IPart I: Motivation and IntuitionNov 16, 2022Nov 16, 2022
Luc Frachon5 Reasons to Use Linear Regression over Gradient Boosted Trees (or at least give it a go)IntroductionNov 1, 2022Nov 1, 2022