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/laohur/RelationNet
https://github.com/laoreja/face-identity-transformer
https://github.com/laoshiwei/face-anti-spoofing
Exploiting temporal and depth information for multi-frame face anti-spoofing
https://github.com/laowang666888/HRNET
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/larsoncs/face_detect
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/layumi/Person_reID_baseline_pytorch
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/leebebeto/pytorch-implementation
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/leejieun51/transformer
https://github.com/leemathew1998/GradientWeight
https://github.com/leemathew1998/RG
https://github.com/leenaali1114/Hierarchical-Image-Clustering---Unsupervised-Learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/leob03/E2E_Object_Pose_Estimator
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/leoluopy/GroupFacePytorch
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
https://github.com/leondgarse/Keras_insightface
MagFace: A Universal Representation for Face Recognition and Quality Assessment
https://github.com/leongatys/DeepTextures
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/leongatys/PytorchNeuralStyleTransfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/leorrose/Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/leorrose/Social-Network-Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/letthedataconfess/Keras-triplet-loss-mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/levindaniil/FaceNet_FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/lhcezx/Graph-FPN
https://github.com/li-yibing/oceannet
https://github.com/libreai/neural-painters-x
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/lidio601/node-facedetect-supyo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/lijiannuist/lightDSFD
https://github.com/likelyzhao/peron_attribute
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
https://github.com/linainsaf/RESNET50_PNEUMONIA_DETECTION
https://github.com/linghu8812/pytorch_insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/linghu8812/tensorrt_tracker
FastReID: A Pytorch Toolbox for General Instance Re-identification
https://github.com/lingzhang1/pointnet_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/lingzhang1/pointnet_tensorflow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/linuxsino/self-adjusting-au
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
https://github.com/lippman1125/pytorch_FAN
https://github.com/liqichen6688/duo-attention
https://github.com/liuch37/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.