Paper Explained: Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation Originally posted on My Medium. Introduction In image generation, Content-Style Disentanglement has been an important task. It aims to separate the content and style of the generated image from the latent space that is learned by a GAN. This DiagonalGAN […]
Paper Explained: JoJoGAN — One-Shot Face Stylization Originally posted on My Medium. Introduction JoJoGAN is a style transfer procedure that lets you transfer the style of a face image to another style. It accepts only one style reference image and quickly produces a style mapper that accepts an input and applies the style to the […]
Originally posted on My Medium. In this article, I will compare and show you the evolution of StyleGAN, StyleGAN2, StyleGAN2-ADA, and StyleGAN3. Note: some details will not be mentioned since I want to make it short and only talk about the architectural changes and their purposes. StyleGAN The purpose of StyleGAN is to synthesize photorealistic/high-fidelity […]
Paper Explained: StyleGAN3 — Alias-Free Generative Adversarial Networks Originally posted on My Medium. The StyleGAN3 paper is pretty hard to understand. In this article, I tried my best to reorganize it and explain it step by step. Hope you understand it better after reading this. If you want to know the difference and evolution of StyleGAN, […]
Paper Explained: SeFa — Closed-Form Factorization of Latent Semantics in GANs Originally posted on My Medium. Motivation The generator in GANs usually takes a randomly sampled latent vector as the input and generates a high-fidelity image. By changing the latent vector , we can change the output image. However, in order to change a specific attribute in the output […]
Originally posted on My Medium. Demo This is a short demo. The full video is down below at the bottom of the article. Objective The objective of this project is to build a deep-learning model to generate Anime face portraits from segmentation masks. In this project, I will first manually annotate a small set of […]
Originally posted on My Medium. Introduction This is an update on my previous article Anime Illustration Colorization Part 1. If you have not read that, I recommend you to read it first and then come back. After posting the previous article, I have done a few things to try to improve the performance of the model. […]
Originally posted on My Medium. Introduction This project aims to create a deep learning model to learn a mapping from a non-colored anime illustration (sketch) to a colored version. We will use the Pix2Pix GAN to achieve this. 1. Dataset First of all, we need a dataset, a dataset that contains a set of non-colored […]