Imagen: A text-to-image diffusion model
In this article, we introduce the diffusion model that started the revolution: Google's Imagen!
a year ago
Theory
Overview of the Transformer Architecture
In this article, we examine the theoretical design behind the popular Transformers architecture, and attempt to explain the underlying mechanisms that have lead to its success in such a wide array of AI disciplines.
a year ago
Review - Text Summarization With Pretrained Encoders
In this review, we examine popular text summarization models, and compare and contrast their capabilities for use in our own work.
a year ago
Review of Imagination-Guided Open-Ended Text Generation
This review covers different methodologies for open-ended text generation
a year ago
3D-Aware Generation using 2D Diffusion Models
In this article, we continue our look at the theory behind recent works on transferring the capabilities of 2D diffusion models to create 3D-Aware Generative Diffusion models.
2 years ago
Understanding StyleGAN1
In this article, we will go through the StyleGAN paper to see how it works and understand it in depth.
2 years ago
Introduction to Extractive and Abstractive Summarization Techniques
In this theory we cover the background theory behind a variety of methodologies for abstractive text summarization
2 years ago
Intuitive Introduction to Neural Machine Translation with Bahdanau and Luong Attention
In this article, we go over Neural Machine Translation with Bahdanau and Luong Attention, and demonstrate the value of the innovative model architecture.
2 years ago
Exploring and Exploiting the Latent Style Space
In this article we look at the Style Space in StyleGAN models - a way for us to understand and identify style channels that control both local semantic regions and specific attributes defined by positive samples
2 years ago
