Papers with Code 아카이브
Face Swapping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 23
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/zju-pi/awesome-diffusion-generated-image-detection
공식 코드Recent Advances on Generalizable Diffusion-generated Image Detection
https://github.com/zyainfal/One-Shot-Face-Swapping-on-Megapixels
공식 코드https://github.com/AbhinavBaranwal/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/Adityaraj975/DFL
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/Adityaraj975/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/AlexeiKaplenko/FaceShifter_mine
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/AlgoHunt/Face-Xray
https://github.com/Ashigarg123/ShiftySpeech
https://github.com/AshikaAnand12/FaceManipulation
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
https://github.com/Baukebrenninkmeijer/HackGAN
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/BiDAlab/DeepFakesON-Phys
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
https://github.com/CatoGit/Comparing-the-Performance-of-Deepfake-Detection-Methods-on-Benchmark-Datasets
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
https://github.com/Daisy-Zhang/Face-X-ray
https://github.com/DataScienceNigeria/Fake-Detection-dataset-for-deepfake-from-Google-and-Jigsaw
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux
https://github.com/Heonozis/FaceShifter-pytorch
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/HongguLiu/MesoNet.Pytorch
https://github.com/IanSullivan/DeepFakeTorch
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/JanFschr/DeepFaceLabTest
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/KabirSingh114/DeepFake_Face_Detection
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
https://github.com/MalayAgarwal-Lee/MesoNet-DeepFakeDetection
https://github.com/ManyiLee/Open-world-Deepfake-Detection-Network
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
https://github.com/MindCode-4/code-5/tree/main/wavlm
https://github.com/Olksndr/FaceShifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/Raj-08/Deepfake-Detection-Mesonet
https://github.com/Recognito-Vision/Face-SDK-Linux-Demos
Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
https://github.com/RoninTheKid/yessir
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/SuyashSonawane/fakedetector
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/TangrisJones/AI-dfa
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/VladAndronik/face_swap
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/XuRen20/deepface
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/YuvalNirkin/face_video_segment
https://github.com/aiiu-lab/dfd-fcg
https://github.com/aimagelab/elsa_coco-fake
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.