# Recent Advances of Generative Adversarial Networks in Computer Vision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recent-advances-of-generative-adversarial-networks-in-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yangjie Cao,Lili Jia,Yong-Xia Chen,Nan Lin,Cong Yang,Bo Zhang,Zhi Liu,Xuexiang Li,Honghua Dai |
| Citations | 194 |
| DOI | 10.1109/access.2018.2886814 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8600701/08576508.pdf |
| OpenAlex ID | https://openalex.org/W2904843110 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Yangjie Cao](https://scholariq.org/researchers/yangjie-cao/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Paper topics

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

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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.