Fake-HR1 is a hybrid-reasoning VLM that adaptively selects reasoning modes for synthetic image detection via two-stage HFT and HGRPO training, improving both accuracy and efficiency over standard LLMs.
For instance, SORA [2] can generate highly realistic videos, while Qwen-Image [3] is capable of understanding text and manipulating images
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Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection
Fake-HR1 is a hybrid-reasoning VLM that adaptively selects reasoning modes for synthetic image detection via two-stage HFT and HGRPO training, improving both accuracy and efficiency over standard LLMs.