# Image Inpainting Based on Generative Adversarial Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/image-inpainting-based-on-generative-adversarial-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yi Jiang,Jiajie Xu,Baoqing Yang,Jing Xu,Junwu Zhu |
| Citations | 74 |
| DOI | 10.1109/access.2020.2970169 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974211.pdf |
| OpenAlex ID | https://openalex.org/W3003244550 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jiajie Xu](https://scholariq.org/researchers/jiajie-xu/)

## 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.