This is a PyTorch-based implementation of the Generative Adversarial Text-to-Image Synthesis paper, utilizing a GAN architecture inspired by DCGAN.

This repository consists of code that is used to convert text-embeddings into Images using Generative Adversarial Networks(GAN)

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

15 апр. 2023 г. · The naive GAN involves the discriminator network understanding to differentiate between a realistic image and fake text and unrealistic image ...

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

These experiments are used to validate the effectiveness of StackGAN in generating realistic images in descriptive text. We considered both quality and ...

Text-to-image generation is a task of generating images based on a textual description.

16 нояб. 2019 г. · In this story I will talk about how to generate realistic images from textual description which describes the image.

16 авг. 2020 г. · This blog addresses different text to image synthesis algorithms using GAN (Generative Adversarial Network) that aims to directly map words and characters to ...

10 апр. 2021 г. · In this article, we will discuss two research papers that use different architectures of GAN model to generate image and video on a text caption.