CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
Jinjie Shen · Yaxiong Wang · Yujiao Wu · Lechao Cheng · Tianrui Hui · Nan Pu · Zhihui Li · Zhun Zhong
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Jinjie Shen · Yaxiong Wang · Yujiao Wu · Lechao Cheng · Tianrui Hui · Nan Pu · Zhihui Li · Zhun Zhong
Yuchen Zhang · Yaxiong Wang · Yujiao Wu · Lianwei Wu · Li Zhu · Zhedong Zheng
Yuchen Zhang · Yaxiong Wang · Kecheng Han · Yujiao Wu · Lianwei Wu · Li Zhu · Zhedong Zheng
Recent advances in generative AI have significantly enhanced the realism of multimodal media manipulation, thereby posing substantial challenges to manipulation detection. Existing manipulation detection and grounding approaches predominantly focus on manipulation type classification under result...
Jingchun Lian · Lingyu Liu · Yaxiong Wang · Yujiao Wu · Lianwei Wu · Li Zhu · Zhedong Zheng
Existing facial forgery detection methods typically focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulation. To address this, we introduce Forgery Attribution Report Generation , a new multimodal task designed to provide po...