https://github.com/mehryaragha/NoseBiometrics
공식 코드Nasal Patches and Curves for Expression-robust 3D Face Recognition
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/meilfang/fairnessfacepad
공식 코드https://github.com/meilfang/lmfd-pad
공식 코드https://github.com/meilfang/spl-mad
공식 코드Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
https://github.com/meilfang/synthaspoof
공식 코드SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data
https://github.com/mesnico/idclip
공식 코드Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a Baseline
https://github.com/metavisionlab/metafbp
공식 코드MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction
https://github.com/mgb45/mkfbodytracker_pdaf
공식 코드Single camera pose estimation using Bayesian filtering and Kinect motion priors
https://github.com/miaoct/msccnet
공식 코드Multi-spectral Class Center Network for Face Manipulation Detection and Localization
https://github.com/miccunifi/EmoVOCA
공식 코드https://github.com/miccunifi/nefer
공식 코드https://github.com/michaeltrs/rethinknirvis
공식 코드https://github.com/microsoft/auto-formula
공식 코드https://github.com/microsoft/digiface1m
공식 코드DigiFace-1M: 1 Million Digital Face Images for Face Recognition
https://github.com/miliadis/FIRC
공식 코드Robust and Low-Rank Representation for Fast Face Identification with Occlusions
https://github.com/milliema/invreg
공식 코드https://github.com/ming053l/grace
공식 코드https://github.com/mingwuzheng/imface
공식 코드ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
https://github.com/minhnhatvt/label-distribution-learning-fer-tf
공식 코드Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
https://github.com/minivision-ai/photo2cartoon
공식 코드Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
https://github.com/mintelligence-group/visiophysioenet
공식 코드VisioPhysioENet: Multimodal Engagement Detection using Visual and Physiological Signals
https://github.com/miraflow/DistilDIRE
공식 코드DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection
https://github.com/mireillefares/vaanimation
공식 코드Transformer Network for Semantically-Aware and Speech-Driven Upper-Face Generation
https://github.com/mit-ll/lorax_cil
공식 코드LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
https://github.com/mittalgovind/GOTCHA-Deepfakes
공식 코드GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response
https://github.com/miu200521358/NeuralVoicePuppetryMMD
공식 코드https://github.com/mk-minchul/adaface
공식 코드https://github.com/mk-minchul/caface
공식 코드Cluster and Aggregate: Face Recognition with Large Probe Set
https://github.com/mk-minchul/dcface
공식 코드DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
https://github.com/mk-minchul/kprpe
공식 코드https://github.com/mkocaoglu/CausalGAN
공식 코드CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
https://github.com/mobiface/mobiface.github.io
공식 코드MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
https://github.com/modar7/the_fairness_stitch
공식 코드The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing
https://github.com/modelscope/facechain
공식 코드TopoFR: A Closer Look at Topology Alignment on Face Recognition
https://github.com/mohammadrezanaderi4/sfi-swin
공식 코드https://github.com/monu-khicher-1/multi-stage-learning
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.