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20242026
most citedGeneralizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

2 citations · 5 across the 10 of their papers we have counts for

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cs.CV2024

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Zhiyuan Yan, Jiangming Wang, Peng Jin +7

AI-generated images (AIGIs), such as natural or face images, have become increasingly important yet challenging. In this paper, we start from a new perspective to excavate the reas…

cs.CV2024★ 1 cited

A Quality-Centric Framework for Generic Deepfake Detection

Wentang Song, Zhiyuan Yan, Yuzhen Lin +6

Detecting AI-generated images, particularly deepfakes, has become increasingly crucial, with the primary challenge being the generalization to previously unseen manipulation method…

cs.CV2024★ 2 cited

Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

Zhiyuan Yan, Yandan Zhao, Shen Chen +5

Three key challenges hinder the development of current deepfake video detection: (1) Temporal features can be complex and diverse: how can we identify general temporal artifacts to…

cs.CV2024

Rank-based No-reference Quality Assessment for Face Swapping

Xinghui Zhou, Wenbo Zhou, Tianyi Wei +5

Face swapping has become a prominent research area in computer vision and image processing due to rapid technological advancements. The metric of measuring the quality in most face…

cs.CV2024★ 2 cited

DF40: Toward Next-Generation Deepfake Detection

Zhiyuan Yan, Taiping Yao, Shen Chen +8

We propose a new comprehensive benchmark to revolutionize the current deepfake detection field to the next generation. Predominantly, existing works identify top-notch detection al…