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.

Data and Resources

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

DOI retrieved: December 3, 2024

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