https://github.com/qingyuliu/exposing-the-deception
공식 코드Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
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/qiqitao77/awesome-comprehensive-deepfake-detection
공식 코드Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A Survey
https://github.com/qiqitao77/comprehensive-advances-in-deepfake-detection-spanning-diverse-modalities
공식 코드Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A Survey
https://github.com/quarxilon/generator_attribution
공식 코드Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images
https://github.com/raining-dev/avt2-dwf
공식 코드AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies
https://github.com/rainy-xu/tall4deepfake
공식 코드Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection
https://github.com/razla/xai-based-detection-of-adversarial-attacks-on-deepfake-detectors
공식 코드XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
https://github.com/recluzegeek/AWARE-NET
공식 코드AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
https://github.com/rgb91/temporal-deepfake-segmentation
공식 코드https://github.com/rmushfiqur2/deepfake_op_rel
공식 코드Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
https://github.com/rshaojimmy/deepfake-adapter
공식 코드https://github.com/rshaojimmy/multimodal-deepfake
공식 코드https://github.com/rshaojimmy/seqdeepfake
공식 코드https://github.com/rub-syssec/wavefake
공식 코드https://github.com/ryuryukke/OUTFOX
공식 코드https://github.com/sahasubhajit/Speech-Spoofing-
공식 코드https://github.com/sanjaysaha1311/temporal-deepfake-segmentation
공식 코드https://github.com/sccsok/Locate-and-Verify
공식 코드Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
https://github.com/sclbd/deepfakebench
공식 코드DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
https://github.com/sergibot/fakefacessurvey
공식 코드Testing Human Ability To Detect Deepfake Images of Human Faces
https://github.com/sh1newu/advmark
공식 코드Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
https://github.com/sh1newu/sepmark
공식 코드SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection
https://github.com/shahroztariq/CLRNet
공식 코드A Convolutional LSTM based Residual Network for Deepfake Video Detection
https://github.com/shanface33/gpt4mf_ub
공식 코드Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
https://github.com/shimmer-ghq/deepfidelity
공식 코드DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection
https://github.com/shivangi-aneja/TAFIM
공식 코드TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations
https://github.com/skjack/diffusionfake
공식 코드DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
https://github.com/skrantidatta/lipinc
공식 코드https://github.com/slundberg/shap
공식 코드https://github.com/sohailahmedkhan/CLIPping-the-Deception
공식 코드CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
https://github.com/sowmen/face-cutout
공식 코드https://github.com/svddchallenge/ctrsvdd2024_baseline
공식 코드SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan
https://github.com/swagshaw/xlsr-mamba
공식 코드XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection
https://github.com/taco-group/hfmf
공식 코드HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
https://github.com/talkingnow/HM-Conformer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.