https://github.com/pratikpv/mri_gan_deepfake
공식 코드MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment
Papers with Code 아카이브
3D Shape Reconstruction from Videos
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pterhoer/DeepFakeAnnotations
공식 코드Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
https://github.com/purdue-m2/auc_fairness_with_noisy_groups
공식 코드Preserving AUC Fairness in Learning with Noisy Protected Groups
https://github.com/purdue-m2/fairness-generalization
공식 코드https://github.com/purdue-m2/sp_cup
공식 코드https://github.com/qingyuliu/exposing-the-deception
공식 코드Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.