检查压缩对影响人工智能生成图像真实性的作用
Xiaohan Fang1, Peilin Chen1, Meng Wang2
1Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China.
Scientific reports
|April 9, 2025
概括
压缩文物降低了人类区分人工智能生成图像 (AIGI) 与真实的图像的能力. 这项研究创建了一个数据集,以探索压缩如何影响AIGI中的真实感知.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 数字图像处理 数字图像处理
背景情况:
- 人工智能产生的内容 (AIGC) 模糊了虚拟和现实之间的界限.
- 人工智能生成的图像 (AIGI) 对教育,艺术和虚拟现实等领域产生重大影响.
- 有限的研究存在于压缩文物对AIGI主观真实性的影响.
研究的目的:
- 调查压缩文物如何影响人工智能生成图像的主观真实性歧视.
- 创建第一个数据集来评估AIGI在压缩下的真实性.
- 分析压缩对不同内容类别的AIGI的影响.
主要方法:
- 开发了500个AIGI和500个自然图像 (768x768分辨率) 的数据集.
- 将图像分类为5个主要类别和20个子类别,以进行特定内容的分析.
- 使用多功能视频编码 (VVC) 应用了四个压缩扭曲级别 (QP 22, 32, 42, 52).
主要成果:
- 人类在区分AIGI与真实图像的准确性随着压缩扭曲的增加而下降.
- 该研究在各种图像内容类型中观察到这一趋势.
- 压缩显著影响人工智能生成图像的真实性.
结论:
- 压缩工件降低了人工智能生成图像的检测能力.
- 研究结果表明,在压缩下,图像真实性和视觉质量之间存在权衡.
- 这项研究为在AIGI中平衡真实性和视觉质量提供了基础.
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