# Generative Adversarial Network Applications in Creating a Meta-Universe

arXiv: https://arxiv.org/abs/2201.09152 · HTML: https://mlsanity.com/paper/2201.09152/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 11 of its 17 references that are in the map.
- First posted on arXiv 23 Jan 2022.

## Builds on (most cited first, 11 of 11)

- [A Style-Based Generator Architecture for Generative Adversarial Networks](https://mlsanity.com/paper/1812.04948/) (2018)
- [Image-to-Image Translation with Conditional Adversarial Networks](https://mlsanity.com/paper/1611.07004/) (2016)
- [Deep Learning Face Attributes in the Wild](https://mlsanity.com/paper/1411.7766/) (2014)
- [Wasserstein GAN](https://mlsanity.com/paper/1701.07875/) (2017)
- [Adversarial Autoencoders](https://mlsanity.com/paper/1511.05644/) (2015)
- [Towards Diverse and Natural Image Descriptions via a Conditional GAN](https://mlsanity.com/paper/1703.06029/) (2017)
- [JoJoGAN: One Shot Face Stylization](https://mlsanity.com/paper/2112.11641/) (2021)
- [Adversarial Inference for Multi-Sentence Video Description](https://mlsanity.com/paper/1812.05634/) (2018)
- [Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning](https://mlsanity.com/paper/2104.03337/) (2021)
- [Towards Generating Stylized Image Captions via Adversarial Training](https://mlsanity.com/paper/1908.02943/) (2019)
- [Stereotype-Free Classification of Fictitious Faces](https://mlsanity.com/paper/2005.02157/) (2020)

## Abstract (arXiv)

Generative Adversarial Networks (GANs) are machine learning methods that are used in many important and novel applications. For example, in imaging science, GANs are effectively utilized in generating image datasets, photographs of human faces, image and video captioning, image-to-image translation, text-to-image translation, video prediction, and 3D object generation to name a few. In this paper, we discuss how GANs can be used to create an artificial world. More specifically, we discuss how GANs help to describe an image utilizing image/video captioning methods and how to translate the image to a new image using image-to-image translation frameworks in a theme we desire. We articulate how GANs impact creating a customized world.