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Common Sense Reasoning for Deepfake Detection

Common Sense Reasoning for Deep Fake Detection,
Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, and Gaurav Bharaj
ECCV 2024

DD-VQA Dataset

Please see our DD-VQA dataset in folder DQ_FF++. The images are cropped frames from the FF++.

Data Structure

1. The dataset is split based on FF++.
2. For each type of manipulation, we provide the corresponding question-answer paris using a JSON file with the following format.

 { "manitupateid_videoid" {
    "question_id":{
    "question": "Does the image/ the person's eyes/nose/mouth/eyebrows/ look fake?",
    "answer":["answer1", "answer2", "..."]
    }
    }
}
 "%The  manipulate_id is the manipulation types: 0: Deepfakes, 1:Face2face, 2: FaceShift, 3: FaceSwap,5: Original, 6: NeuralTexture."