# Generative Adversarial Networks and Image Synthesis

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 894,492 |
| Description | This cluster of papers focuses on the application of Generative Adversarial Networks (GANs) in image processing, including image synthesis, style transfer, representation learning, and unsupervised learning. The papers cover various techniques such as image inpainting, texture synthesis, and conditional generative models using deep learning and neural networks. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T10775 |
| Works | 60,596 |

## Topic researchers

Showing 12 of 20.

- [Kaiming He](https://scholariq.org/researchers/kaiming-he/)
- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Ross Girshick](https://scholariq.org/researchers/ross-girshick/)
- [Andrew Zisserman](https://scholariq.org/researchers/andrew-zisserman/)
- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)
- [Ilya Sutskever](https://scholariq.org/researchers/ilya-sutskever/)
- [Trevor Darrell](https://scholariq.org/researchers/trevor-darrell/)
- [Piotr Dollár](https://scholariq.org/researchers/piotr-dollar/)
- [Jürgen Schmidhuber](https://scholariq.org/researchers/jurgen-schmidhuber/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.