https://github.com/wentianzhang-ml/frt-pad
공식 코드FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
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/wenzhengzeng/mpeblink
공식 코드Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video
https://github.com/wholebody3d/wholebody3d
공식 코드https://github.com/wi-pi/fairness_face_obfuscation
공식 코드Fairness Properties of Face Recognition and Obfuscation Systems
https://github.com/wi-pi/limitations_of_face_generation
공식 코드https://github.com/wiebket/bt4vt
공식 코드https://github.com/wildchlamydia/mivolo
공식 코드MiVOLO: Multi-input Transformer for Age and Gender Estimation
https://github.com/williamyang1991/vtoonify
공식 코드VToonify: Controllable High-Resolution Portrait Video Style Transfer
https://github.com/winfredy/sadtalker
공식 코드https://github.com/wkabbani/sclera-segmentation
공식 코드Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
https://github.com/wolo-wolo/FFR_FD-Effective-and-Fast-Detection-of-DeepFakes-Based-on-Feature-Point-Defects
공식 코드FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects
https://github.com/wolo-wolo/FSFM
공식 코드https://github.com/wq2012/kPCA
공식 코드Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
https://github.com/wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels
공식 코드https://github.com/wuhaozhe/style_avatar
공식 코드Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
https://github.com/wuqiuche/micromotion-stylegan
공식 코드https://github.com/wuyangluo/reffaceinpainting
공식 코드Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control
https://github.com/wuzipengyl/itarget-interpretable-tailored-age-regression-for-grouped-epigenetic-traits
공식 코드iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits
https://github.com/wxzyd123/pivotal_objective_perturbation
공식 코드Mitigating Unauthorized Speech Synthesis for Voice Protection
https://github.com/wxzyd123/safespeech
공식 코드SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
https://github.com/wy1iu/sphereface
공식 코드https://github.com/wykstc/MERC-main
공식 코드Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition
https://github.com/wywu/LAB
공식 코드https://github.com/wywu/ReenactGAN
공식 코드https://github.com/wzhouxiff/restoreformer
공식 코드RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs
https://github.com/wznpub/MMA_Regularization
공식 코드MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
https://github.com/xf1994/ECML
공식 코드ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification
https://github.com/xhp-hust-2018-2011/dcreg
공식 코드https://github.com/xianhua-he/cvpr2024-face-anti-spoofing-challenge
공식 코드Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
https://github.com/xianyunsun/vra
공식 코드https://github.com/xiaoboCASIA/SV-X-Softmax
공식 코드https://github.com/xiaojie1017/Human-Parts
공식 코드https://github.com/xieyuankun/Codecfake
공식 코드The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
https://github.com/xieyuankun/all-type-add
공식 코드Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
https://github.com/xieyuankun/alm-add
공식 코드Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
https://github.com/xieyuankun/fsd-dataset
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.