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Video Forensics

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/EndlessSora/DeeperForensics-1.0

공식 코드

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

https://github.com/cfeng16/audio-visual-forensics

공식 코드

Self-Supervised Video Forensics by Audio-Visual Anomaly Detection

https://github.com/dguera/fake-video-detection-without-pixels

공식 코드

We Need No Pixels: Video Manipulation Detection Using Stream Descriptors

https://github.com/earthnet2021/earthnet-model-intercomparison-suite

공식 코드

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

https://github.com/polimi-ispl/icpr2020dfdc

공식 코드

Video Face Manipulation Detection Through Ensemble of CNNs

https://github.com/sparklexfantasy/mm-det

공식 코드

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

https://gitlab.com/viper-purdue/h4vdm

공식 코드

H4VDM: H.264 Video Device Matching

https://github.com/SuyashSonawane/fakedetector

Video Face Manipulation Detection Through Ensemble of CNNs

https://github.com/derek-baker/group3

We Need No Pixels: Video Manipulation Detection Using Stream Descriptors

https://github.com/earthnet2021/earthnet-toolkit

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

https://github.com/jhchang/DFDC

Video Face Manipulation Detection Through Ensemble of CNNs

https://github.com/zhipeixu/fakeshield

AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.