https://github.com/jagmohaniiit/latentcompositioncode
공식 코드Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
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/jamespark3922/lsmdc-fillin
공식 코드https://github.com/jamt9000/DVE
공식 코드Unsupervised Learning of Landmarks by Descriptor Vector Exchange
https://github.com/janetlauyeung/crossGENRE4RST
공식 코드Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
https://github.com/jankolf/grafiqs
공식 코드GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes
https://github.com/jayaneetha/Zeta-Policy
공식 코드A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
https://github.com/jaygshah/Robust-Brain-Age-Prediction
공식 코드Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
https://github.com/jcroh0508/flats
공식 코드Robust Smart Home Face Recognition under Starving Federated Data
https://github.com/jenine-321/genface
공식 코드GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
https://github.com/jenine-321/mfclip
공식 코드MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
https://github.com/jerryyann/dpi
공식 코드Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow
공식 코드https://github.com/jessegator/sonar
공식 코드Where are we in audio deepfake detection? A systematic analysis over generative and detection models
https://github.com/jhb86253817/PIPNet
공식 코드Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
https://github.com/jhh37/wearmask3d
공식 코드A 3D model-based approach for fitting masks to faces in the wild
https://github.com/jiahao-uts/slpt-master
공식 코드Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
https://github.com/jiarenchang/facecycle
공식 코드Learning Facial Representations from the Cycle-consistency of Face
https://github.com/jiawei-ren/BalancedMSE
공식 코드https://github.com/jiaxiangshang/MGCNet
공식 코드Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
https://github.com/jiaxin-ye/emo-dna
공식 코드Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
https://github.com/jierunchen/tvconv
공식 코드TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
https://github.com/jimmy-academia/lasgsa
공식 코드https://github.com/jin-s13/COCO-WholeBody
공식 코드https://github.com/jingyang2017/srd_ossl
공식 코드Knowledge Distillation Meets Open-Set Semi-Supervised Learning
https://github.com/jinyugy21/adv-stickers_rhde
공식 코드Adversarial Sticker: A Stealthy Attack Method in the Physical World
https://github.com/jkwang28/honestface
공식 코드HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
https://github.com/jkwang28/osdface
공식 코드https://github.com/jlee118/nprm
공식 코드https://github.com/jlrex/patt-lite
공식 코드PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
https://github.com/jmpu/deepfaketextdetection
공식 코드https://github.com/jmpu/webconf21-deepfakes-in-the-wild
공식 코드https://github.com/joelb92/ND_Frontalization_Project
공식 코드https://github.com/jongli747/curricular-sincnet
공식 코드https://github.com/joojs/fairface
공식 코드FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
https://github.com/josephdrahos/sreds
공식 코드https://github.com/juliojj/app-real-age
공식 코드On the effect of age perception biases for real age regression
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.