This repository contains the implementation of ProGAN (Progressive Growing of GANs), a state-of-the-art generative model architecture for generating ...

Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources.

These are the results obtained on the celebA dataset. The model was trained during 7 hours on a RTX2060 6GB VRAM. The size of the produced images are 128 by ...

We're on a journey to advance and democratize artificial intelligence through open source and open science.

6 окт. 2020 г. · Overview. Image generator based on tensorflow reimplementation of Progressive GANs[1]. Maps from a 512-dimensional latent space to images.

18 апр. 2024 г. · 1290 open source face images and annotations in multiple formats for training computer vision models. progan (v3, 2024-04-18 1:47pm), ...

In this article, we will make a clean, simple, and readable implementation of ProGAN with the key attributions from the paper using PyTorch.

ProGAN, or Progressively Growing GAN, is a generative adversarial network that utilises a progressively growing training approach.

We're on a journey to advance and democratize artificial intelligence through open source and open science.

The dataset for this project can be downloaded from the following website. The CelebFaces Attributes (CelebA) Dataset is one of the more popular datasets for ...