https://github.com/laiyingxin2/dadf
공식 코드Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization
Papers with Code 아카이브
3D Shape Reconstruction from Videos
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/laiyingxin2/gm-df
공식 코드https://github.com/lalithbharadwajbaru/wavelet-clip
공식 코드Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
https://github.com/leaffeall/DFS-GDD
공식 코드Decoupling Forgery Semantics for Generalizable Deepfake Detection
https://github.com/leminhbinh0209/add
공식 코드https://github.com/liangchen527/sladd
공식 코드Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
https://github.com/littlejuyan/df_fairness
공식 코드https://github.com/liu-tianchi/nes2net
공식 코드Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing
https://github.com/ljj898/cmdfd-dataset-and-deepfake-detection
공식 코드Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection
https://github.com/lsy0882/FakeMix
공식 코드WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection
https://github.com/lxq1000/dfa-instruct
공식 코드https://github.com/magnet300/camme
공식 코드CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention
https://github.com/manyilee/plada
공식 코드https://github.com/mapooon/selfblendedimages
공식 코드https://github.com/mattgroh/cognitive-science-detecting-deepfakes
공식 코드Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds
https://github.com/megvii-research/caddm
공식 코드Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
https://github.com/megvii-research/fst-matching
공식 코드https://github.com/miraflow/DistilDIRE
공식 코드DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection
https://github.com/mit-ll/lorax_cil
공식 코드LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
https://github.com/mittalgovind/GOTCHA-Deepfakes
공식 코드GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response
https://github.com/monu-khicher-1/multi-stage-learning
공식 코드https://github.com/nctu-eva-lab/antifakeprompt
공식 코드AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
https://github.com/nii-yamagishilab/ssl_vits_df
공식 코드Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
https://github.com/nilslukas/gan-watermark
공식 코드PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators
https://github.com/ningyu1991/ArtificialGANFingerprints
공식 코드Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
https://github.com/nowindbutrain/blockshufflelearning
공식 코드https://github.com/nuriachandra/deepfake-eval-2024
공식 코드Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
https://github.com/oidelima/Deepfake-Detection
공식 코드Deepfake Detection using Spatiotemporal Convolutional Networks
https://github.com/ondyari/FaceForensics
공식 코드FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/orchidchetiaphukan/multilingualptm_add_naacl24
공식 코드https://github.com/parul-gupta/multifakeverse
공식 코드https://github.com/piotrkawa/attack-agnostic-dataset
공식 코드Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection
https://github.com/piotrkawa/audio-deepfake-adversarial-attacks
공식 코드Defense Against Adversarial Attacks on Audio DeepFake Detection
https://github.com/piotrkawa/deepfake-whisper-features
공식 코드https://github.com/piotrkawa/specrnet
공식 코드SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection
https://github.com/polimi-ispl/icpr2020dfdc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.