https://github.com/sccsok/Locate-and-Verify
공식 코드Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
Papers with Code 아카이브
Face Swapping
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Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.
<span style="color:grey; opacity: 0.6">( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/secml-lab-vt/EvolvingThreat-DeepfakeImageDetect
공식 코드An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
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/deepfake_model_attribution
공식 코드https://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/skjack/diffusionfake
공식 코드DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
https://github.com/skrantidatta/lipinc
공식 코드https://github.com/skrantidatta/lipinc-v2
공식 코드Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies
https://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/somuchtome/faceswap
공식 코드https://github.com/sowmen/face-cutout
공식 코드https://github.com/superhero-7/DreamID
공식 코드DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning
https://github.com/svddchallenge/ctrsvdd2024_baseline
공식 코드SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan
https://github.com/taco-group/hfmf
공식 코드HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
https://github.com/talkingnow/HM-Conformer
공식 코드https://github.com/talreiss/factor
공식 코드https://github.com/tamlhp/dfd_benchmark
공식 코드A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
https://github.com/thomas-wyh/fuseanypart
공식 코드FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
https://github.com/thu-huangzc/FFAA
공식 코드FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
https://github.com/tizfa/tweepfake_deepfake_text_detection
공식 코드https://github.com/tobuta/PolyGlotFake
공식 코드PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset
https://github.com/tongzhou0101/bileve-official
공식 코드Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
https://github.com/truongvu2000nd/afs
공식 코드https://github.com/usingcolor/latentswap
공식 코드LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping
https://github.com/v0lta/pytorch-wavelet-toolbox
공식 코드https://github.com/vcbsl/audio-visual-deepfake
공식 코드Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization
https://github.com/vdigpku/cmua-watermark
공식 코드CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
https://github.com/vishal3477/Reverse_Engineering_GMs
공식 코드Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
https://github.com/vladhondru25/exddv
공식 코드ExDDV: A New Dataset for Explainable Deepfake Detection in Video
https://github.com/vpsg-research/waveguard
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.