Papers with Code 아카이브
Face Swapping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/gan-police/frequency-forensics
공식 코드https://github.com/gewanying/shap-anti-spoofing
공식 코드Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations
https://github.com/gilikn/fakeout
공식 코드FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection
https://github.com/gojasper/flash-diffusion
공식 코드Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
https://github.com/grip-unina/id-reveal
공식 코드https://github.com/grip-unina/poi-forensics
공식 코드https://github.com/gufranSabri/FSBI
공식 코드FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
https://github.com/hanweikung/face_anon_simple
공식 코드https://github.com/hashtag00002/tt-df
공식 코드TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
https://github.com/highwaywu/st-ddl
공식 코드Exploring Spatial-Temporal Features for Deepfake Detection and Localization
https://github.com/honghanh2104/t2a-think-twice-before-adaptation
공식 코드https://github.com/hongshuochen/DefakeHop
공식 코드DefakeHop: A Light-Weight High-Performance Deepfake Detector
https://github.com/huangjiadidi/DeepFakeMnist
공식 코드https://github.com/huashen218/llm-deepfake-human-study
공식 코드Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
https://github.com/hxngiee/DiffFace
공식 코드DiffFace: Diffusion-based Face Swapping with Facial Guidance
https://github.com/iamwangyabin/poundnet
공식 코드https://github.com/idt-iti/xai-deepfakes
공식 코드Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
https://github.com/iperov/DeepFaceLab
공식 코드DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/jenine-321/genface
공식 코드GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow
공식 코드https://github.com/jessegator/sonar
공식 코드Where are we in audio deepfake detection? A systematic analysis over generative and detection models
https://github.com/jimmy-academia/lasgsa
공식 코드https://github.com/jmpu/deepfaketextdetection
공식 코드https://github.com/jmpu/webconf21-deepfakes-in-the-wild
공식 코드https://github.com/kartik-3004/segface
공식 코드https://github.com/l8cv/busterx
공식 코드BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation
https://github.com/laiyingxin2/dadf
공식 코드Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization
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/lightdxy/ict_deepfake
공식 코드Protecting Celebrities from DeepFake with Identity Consistency Transformer
https://github.com/liqi-casia/faceswapper
공식 코드Learning Disentangled Representation for One-shot Progressive Face Swapping
https://github.com/lissomx/MSP
공식 코드Latent Space Factorisation and Manipulation via Matrix Subspace Projection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.