# Distinguishing computer graphics from natural images using convolution neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/distinguishing-computer-graphics-from-natural-images-using-convolution-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nicolas Rahmouni,Vincent Nozick,Junichi Yamagishi,Isao Echizen |
| Citations | 331 |
| DOI | 10.1109/wifs.2017.8267647 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.pure.ed.ac.uk/ws/files/65082982/Distinguishing_Computer_Graphics.pdf |
| OpenAlex ID | https://openalex.org/W2786289897 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Isao Echizen](https://scholariq.org/researchers/isao-echizen/)

## Paper primary topic

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

## Paper topics

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

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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.