davide-coccomini/MINTIME-Multi-Identity-size-iNvariant-TIMEsformer-for-Video-Deepfake-Detection
Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", paper available on IEEE Transactions on Information Forensics and Security.
This project helps identify manipulated videos, known as deepfakes, by analyzing visual information to determine if a video is authentic. You provide a video file as input, and it tells you if the video contains deepfakes, and can even highlight which individuals in multi-person videos might be manipulated. It's designed for anyone needing to verify video authenticity, such as journalists, content moderators, or legal professionals.
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Use this if you need to reliably detect manipulated videos, especially those with multiple people or varying face sizes, and understand where the manipulation might be occurring.
Not ideal if you need to analyze static images for manipulation, as this tool focuses specifically on temporal and spatial anomalies within video.
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Jun 05, 2024
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