https://github.com/face3d0725/FaceExtraction
공식 코드FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction
Papers with Code 아카이브
3D Face Reconstruction
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3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/face3d0725/face_de_mask
공식 코드https://github.com/facebookresearch/KeypointNeRF
공식 코드https://github.com/facebookresearch/detectron
공식 코드https://github.com/fahadshamshad/clip2protect
공식 코드CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search
https://github.com/fahadshamshad/deep-facial-privacy-prior
공식 코드Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
https://github.com/fairdeface/FairDeface
공식 코드FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods
https://github.com/fangyini/rmes
공식 코드RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid
https://github.com/faniamokhayeri/C-GAN
공식 코드https://github.com/faniamokhayeri/DSFS
공식 코드Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person
https://github.com/farzad-bz/harmonizing-flows
공식 코드Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
https://github.com/fatemejamalii/e2f-net
공식 코드https://github.com/faysal-md/unmasking-deepfake-faces-from-videos-an-explainable-cost-sensitive-deep-learning-approach-ieee2023
공식 코드Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach
https://github.com/fbiying87/demographic-bias-visualization
공식 코드Towards Explaining Demographic Bias through the Eyes of Face Recognition Models
https://github.com/fbiying87/explainable_fiqa_with_amva
공식 코드https://github.com/fdbtrs/AdaDistill
공식 코드AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition
https://github.com/fdbtrs/ElasticFace
공식 코드https://github.com/fdbtrs/IDiff-Face
공식 코드IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
https://github.com/fdbtrs/QuantFace
공식 코드QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization
https://github.com/fdbtrs/Self-restrained-Triplet-Loss
공식 코드Self-restrained Triplet Loss for Accurate Masked Face Recognition
https://github.com/fdbtrs/Unsupervised-Face-Recognition-using-Unlabeled-Synthetic-Data
공식 코드Unsupervised Face Recognition using Unlabeled Synthetic Data
https://github.com/fdbtrs/cr-fiqa
공식 코드CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
https://github.com/fdbtrs/exfacegan
공식 코드https://github.com/fdbtrs/masked-face-recognition-kd
공식 코드Mask-invariant Face Recognition through Template-level Knowledge Distillation
https://github.com/fdbtrs/mixfacenets
공식 코드https://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 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.