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DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis

The DiffusionFace dataset is a comprehensive dataset for diffusion-based face forgery analysis, covering various forgery categories, including unconditional and text-guided facial image generation, Img2Img, Inpaint, and Diffusion-based facial exchange algorithms.

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Cite this as

Zhongxi Chen, Ke Sun, Ziyin Zhou, Xianming Lin, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji (2024). Dataset: DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis. https://doi.org/10.57702/ewslkhod

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2403.18471
Author	Zhongxi Chen
More Authors	Ke Sun Ziyin Zhou Xianming Lin Xiaoshuai Sun Liujuan Cao Rongrong Ji
Homepage	https://github.com/Rapisurazurite/DiffFace