Papers with Code 아카이브
Facial Recognition and Modelling
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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/cleardusk/MFR
공식 코드https://github.com/cleardusk/MeGlass
공식 코드https://github.com/clferrari/facepartsswap
공식 코드What makes you, you? Analyzing Recognition by Swapping Face Parts
https://github.com/clks-wzz/FAS-SGTD
공식 코드Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
https://github.com/clks-wzz/epcr
공식 코드https://github.com/clovaai/EXTD_Pytorch
공식 코드EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
https://github.com/clovaai/eresfd
공식 코드EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
https://github.com/clpeng/Awesome-Face-Forgery-Generation-and-Detection
공식 코드Countering Malicious DeepFakes: Survey, Battleground, and Horizon
https://github.com/cmry/reap
공식 코드Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
https://github.com/cnnlstm/fslsd_hires
공식 코드High-resolution Face Swapping via Latent Semantics Disentanglement
https://github.com/controlnet/av-deepfake1m
공식 코드AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset
https://github.com/coolEphemeroptera/AESRC2020
공식 코드https://github.com/crane-papercode/ICE-GAN
공식 코드https://github.com/croitorualin/biodeep
공식 코드Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
https://github.com/cruiseyugh/gus
공식 코드https://github.com/crusnic-corp/BN-AuthProf
공식 코드BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
https://github.com/crywang/RFM
공식 코드https://github.com/csbhr/ffhq-uv
공식 코드FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
https://github.com/csehong/SSPP-DAN
공식 코드SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person
https://github.com/csinva/matching-with-gans
공식 코드Matched sample selection with GANs for mitigating attribute confounding
https://github.com/csong27/ml-model-remember
공식 코드https://github.com/csxmli2016/SymmFCNet
공식 코드https://github.com/csyxwei/FFWM
공식 코드https://github.com/cutz-j/FDFtNet
공식 코드FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
https://github.com/cvgmi/nestedgrassmann
공식 코드Nested Grassmannians for Dimensionality Reduction with Applications
https://github.com/cvi-szu/degstalk
공식 코드DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
https://github.com/cvi-szu/mdhr
공식 코드Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition
https://github.com/cvi-szu/me-graphau
공식 코드Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
https://github.com/cyf-cuber/mol
공식 코드https://github.com/cyj907/unsupervised-detail-layer
공식 코드https://github.com/cyjie429/rego
공식 코드Region-Based Optimization in Continual Learning for Audio Deepfake Detection
https://github.com/czh-98/REALY
공식 코드https://github.com/d-acharya/CovPoolFER
공식 코드https://github.com/daizigege/Identity_hider
공식 코드Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
https://github.com/damo-cv/mogface
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.