Knowledge Commons of Institute of Automation,CAS
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm | |
Bai, Weiming1,2; Zhang, Zhipeng1,2; Li, Bing1,2; Wang, Pei3; Li, Yangxi3; Zhang, Congxuan4; Hu, Weiming1,2 | |
发表期刊 | IEEE Transactions on Image Processing |
2021 | |
卷号 | 30页码:8439-8453 |
摘要 | With advances in rendering techniques and generative adversarial networks, computer-generated (CG) images tend to be indistinguishable from photographic (PG) images. Revisiting previous works towards CG image forensic, we observed that existing datasets are constructed years ago and limited in both quantity and diversity. Besides, current algorithms only consider the global visual features for forensic, ignoring finer differences between CG and PG images. To mitigate these problems, we first contribute a Large-Scale CG images Benchmark (LSCGB), and then propose a simple yet strong baseline model to address the forensic task. On the one hand, the introduced benchmark has three superior properties, 1) large-scale: the benchmark contains 71168 CG and 71168 PG images with the corresponding expert-annotated labels. It is orders of magnitude bigger than previous datasets. 2) high diversity we collect CG images from 4 different scenes generated by various rendering techniques. The PG images are varied in terms of image content, camera models, and photographer styles. |
收录类别 | SCI |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48575 |
专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.National Computer Network Emergency Response Technical Team/Coordination Center of China 4.Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Bai, Weiming,Zhang, Zhipeng,Li, Bing,et al. Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm[J]. IEEE Transactions on Image Processing,2021,30:8439-8453. |
APA | Bai, Weiming.,Zhang, Zhipeng.,Li, Bing.,Wang, Pei.,Li, Yangxi.,...&Hu, Weiming.(2021).Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm.IEEE Transactions on Image Processing,30,8439-8453. |
MLA | Bai, Weiming,et al."Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm".IEEE Transactions on Image Processing 30(2021):8439-8453. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Robust Texture-Aware(4552KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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