https://github.com/hyhchaos/FakePolisher
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
Papers with Code 아카이브
DeepFake Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 11
- 보존된 평가 기록
- 30
DeepFake Detection is the task of detecting fake videos or images that have been generated using deep learning techniques. Deepfakes are created by using machine learning algorithms to manipulate or replace parts of an original video or image, such as the face of a person. The goal of deepfake detection is to identify such manipulations and distinguish them from real videos or images.
Description source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Image source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hyn2028/llm-cxr
https://github.com/hzlsaber/sida
https://github.com/jhchang/DFDC
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/jmpu/deepfaketextdetection
https://github.com/joanrod/ocr-vqgan
https://github.com/joh-fischer/PlantLDM
https://github.com/josebeo2016/BTS-Encoder-ASVspoof
https://github.com/jtchen0528/PCL-I2G
https://github.com/kprav3/DeepFakeDetection_DIP
https://github.com/lixucuhk/ASV-anti-spoofing-with-Res2Net
Replay and Synthetic Speech Detection with Res2net Architecture
https://github.com/lixucuhk/Channel-wise-Gated-Res2Net
Replay and Synthetic Speech Detection with Res2net Architecture
https://github.com/maragori/DeepfakeForensics-v1
https://github.com/neverUseThisName/Face-X-Ray
https://github.com/nicksunday/deepfake-music-detector
https://github.com/paarthneekhara/adversarialdeepfakes
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
https://github.com/piotrkawa/audio-deepfake-source-tracing
https://github.com/pothabattulasantosh/Detection-of-face-Manipulated-videos
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/pothabattulasantosh/Detection-of-facial-Manipulated-videos
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/purdue-m2/robust_fairness_withNoisy_labels
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
https://github.com/pwc-1/Paper-9/tree/main/5/wavlm
https://github.com/qishanzhang/slsforadd
https://github.com/sahibzadaadil/Lip-Sync-Matters-A-Novel-Multimodal-Forgery-Detector
https://github.com/samb-t/unleashing-transformers
https://github.com/seongilp/DFE604-2020F-FinalProject
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/smu-ivpl/DeepfakeDetection
https://github.com/takhemlata/ssl_anti-spoofing
https://github.com/tgisaturday/taming-transformers-tpu
https://github.com/twyunting/Deepfake_Video_Classifier
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/v-iashin/SpecVQGAN
https://github.com/wangjk666/PyDeepFakeDet
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
https://github.com/wkq-wukaiqi/Face-X-Ray
https://github.com/xacheng1996/vfd
https://github.com/xiaoiker/meta_dpm
https://github.com/yinglinzheng/FTCN
Exploring Temporal Coherence for More General Video Face Forgery Detection
https://github.com/yyk-wew/F3Net
FaceForensics++: Learning to Detect Manipulated Facial Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.