https://github.com/fuxivirtualhuman/styletalk
공식 코드StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fvmassoli/affwild2-challenge
공식 코드A Multi-resolution Approach to Expression Recognition in the Wild
https://github.com/fvmassoli/cross-resolution-face-recognition
공식 코드https://github.com/fvmassoli/mafer-multires-facial-expression-recognition
공식 코드MAFER: a Multi-resolution Approach to Facial Expression Recognition
https://github.com/fvmassoli/trj-based-adversarials-detection
공식 코드https://github.com/fwang91/IMDb-Face
공식 코드https://github.com/g-milis/NEUTART
공식 코드https://github.com/gabrella/qot
공식 코드Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild
https://github.com/gama-ufsc/brain-age
공식 코드Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?
https://github.com/gan-police/audiodeepfake-detection
공식 코드https://github.com/gan-police/frequency-forensics
공식 코드https://github.com/gaobb/DLDL
공식 코드https://github.com/garynlfd/kfc
공식 코드KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
https://github.com/gauravreddy08/OcularAI
공식 코드MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired
https://github.com/genbing99/SoftNet-SpotME
공식 코드Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
https://github.com/germino-liuhe/dsat
공식 코드Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
https://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/gist-ailab/teaching-where-to-look
공식 코드https://github.com/git-disl/Chameleon
공식 코드Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
https://github.com/gkaradzhov/ClickbaitRANLP
공식 코드We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!
https://github.com/gojasper/flash-diffusion
공식 코드Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
https://github.com/golnazghiasi/cofw68-benchmark
공식 코드Occlusion Coherence: Detecting and Localizing Occluded Faces
https://github.com/golnazghiasi/hpm-detection-code
공식 코드Occlusion Coherence: Detecting and Localizing Occluded Faces
https://github.com/gongsixue/DebFace
공식 코드Jointly De-biasing Face Recognition and Demographic Attribute Estimation
https://github.com/gonyrosenman/tff
공식 코드https://github.com/grigorisg9gr/deformable_tracking_review_ijcv2016
공식 코드A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"
https://github.com/grigorisg9gr/polynomial_nets
공식 코드https://github.com/grip-unina/id-reveal
공식 코드https://github.com/grip-unina/poi-forensics
공식 코드https://github.com/gsethan17/CAPNet_ABAW2021
공식 코드Causal affect prediction model using a facial image sequence
https://github.com/guanghaozhu663/skd-tstsan
공식 코드https://github.com/guanjiyang/sac_jc
공식 코드https://github.com/gufranSabri/FSBI
공식 코드FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
https://github.com/guillermogotre/cusp
공식 코드https://github.com/guoyang9/class-imbalance-VQA
공식 코드Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.