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/fdbtrs/pocketnet
공식 코드https://github.com/fdbtrs/sface-privacy-friendly-and-accurate-face-recognition-using-synthetic-data
공식 코드SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data
https://github.com/fdbtrs/synthetic-face-recognition
공식 코드Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition
https://github.com/fdnerf/fdnerf
공식 코드FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
https://github.com/fedeloper/binary_deepfake_detection
공식 코드Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
https://github.com/fedenoce/s2l-s2d
공식 코드Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation
https://github.com/fei-hdu/ca-gan
공식 코드Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs
https://github.com/fei-hdu/sRender
공식 코드Bridging Unpaired Facial Photos And Sketches By Line-drawings
https://github.com/felixrosberg/facedancer
공식 코드FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
https://github.com/fengju514/Expression-Net
공식 코드https://github.com/fengju514/Face-Pose-Net
공식 코드https://github.com/fengyuentau/pytorch-flops
공식 코드https://github.com/filby89/spectre
공식 코드Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
https://github.com/flakeua/bachelorsthesis
공식 코드Appearance-based gaze estimation enhanced with synthetic images using deep neural networks
https://github.com/flyingby/awesome-deepfake-generation-and-detection
공식 코드https://github.com/fodark/anonygan
공식 코드Graph-based Generative Face Anonymisation with Pose Preservation
https://github.com/forblindrev/aibias
공식 코드Fair and accurate age prediction using distribution aware data curation and augmentation
https://github.com/forever208/fmae-iat
공식 코드Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
https://github.com/forget2save/campro
공식 코드https://github.com/freddiemg/btd--unsupervised-detection-of-medical-deepfakes
공식 코드Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
https://github.com/ftmghorbani/EVI-HRnet
공식 코드Expression-aware video inpainting for HMD removal in XR applications
https://github.com/fudandisc/socioverse
공식 코드https://github.com/fuenwang/mixfairface
공식 코드MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
https://github.com/fusionbrainlab/adversarialfaces
공식 코드Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
https://github.com/fuxivirtualhuman/styletalk
공식 코드StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
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 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.