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NICK TASIOS

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Iterative α-(de)blending and Stochastic Interpolants

In this post I'm looking into a paper the authors of which promise to make diffusion models simple to understand and implement, called Iterative α-(de)blending 1 , and find out that this promise is only partially fulfilled, at least personally. I reproduce the algorithm from the paper and apply it to the generation of MNIST digits, like I did in the previous series of posts, and find out that…

Latent Diffusion Series: Latent Diffusion Model

In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In the third, and last, post, we will finally build and train a latent diffusion model which will be trained to generate random MNIST digits. Read more… (16 min remaining to read)

Latent Diffusion Series: Variational Autoencoder (VAE)

In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In the second post, we will build and train a variational autoencoder to generate MNIST digits. The latent variables of these models are defined to be normally distributed, something that will later enable our diffusion model…

Latent Diffusion Series: MNIST Classifier

In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In this first post, we will train a simple classifier to classify MNIST digits. This will later be used for scoring the quality of the generated digits using a variant of the so-called Fréchet inception distance (FID) . Read more……

Simulating a CRT TV with C++ and OpenGL

With the aid of the oscilloscope simulator we built in a past blog post , we will now build CRT TV simulator. Read more… (6 min remaining to read)

Building a Sequencer and a Level Editor for Vectron

Vectron is unique in the way audio, graphics, and gameplay are intertwined. This feature of Vectron meant I had to build a special audio sequencer that also worked as a level editor. Read more… (11 min remaining to read)

Making sounds using SDL and visualizing them on a simulated oscilloscope.

The most important part of Vectron is the real-time generation and visualization of audio. In the previous blog post I already built a simulated XY oscilloscope which I'll use to visualize the two stereo channels, and I'll use SDL for the platform-independent playback of the audio. Read more… (11 min remaining to read)

Simulating an XY oscilloscope on the GPU

It's been a couple of years since the post where I first introduced the new game I was working on, Vectron. In this post I wanted to tell you a bit about how I programmed the graphics of Vectron. Although I finished the game nearly a year ago, I was putting of releasing it. Compiling it for Windows and MacOS was a barrier I had to overcome, but I can finally say that I released my first game! You…

Rust vs C++ - Implementing a Neural Network

I first learned Rust back in 2014, before it was stable. Rust is definitely a very interesting language so I have decided to revisit it by programming a simple neural network. For comparison, I also implemented the network in C++, the language I'm looking to replace. Read more… (11 min remaining to read)

Conceiving my first game made me find out how to be more creative

It's been a while, a whole year to be exact, and a very eventful one. I'd like to share with you some of the things that happened this year, as well as the things I have been working on and that made me shift away my attention from the blog. Read more… (6 min remaining to read)