https://github.com/Vishwesh4/Face-Feature-Extraction
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
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/VisiumCH/AMLD2020-Dirty-Gancing
https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet
https://github.com/Viveksbawa/SARAS-ESAD-Baseline
https://github.com/Vivswan/ECE-3195-Course-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/VladAndronik/face_swap
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/WangChen0902/MTCNN-Paddle
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/WangChen0902/RetinaFace-Paddle
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/WangYueFt/dgcnn
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Wangxy2180/darknetKinectDetect
https://github.com/Wastoon/TSAL
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection
https://github.com/WeiHongLee/Learning-to-impute
Learning to Impute: A General Framework for Semi-supervised Learning
https://github.com/WeidiXie/Keras-VGGFace2-ResNet50
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/Weijian-li/unsupervised_inter_intra_landmark
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
https://github.com/WhiTExB3AR/Emotion_Diary
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/WhiTExB3AR/PreProduceCode-FMPN-FER
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/Windrill/Scenery-Video-GANs
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Windrill/small-scene-video-GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/XgTu/2DASL
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
https://github.com/XgTu/2DASL-CNN
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
https://github.com/XiaXuehai/faceboxes
https://github.com/Xnsam/clothing_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/XuRen20/deepface
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/XuyangBai/D3Feat
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/YIZHE12/fashiontags
https://github.com/YIZHE12/robots
https://github.com/YanWei123/PointNet-encoder-and-FoldingNet-decoder-add-quantization-change-latent-code-size-from-512-to-1024
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YanWei123/Pointnet_encoder_Foldingnet_decoder_quantization
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YanWei123/Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Yang-Q-D/mindsporeCode/tree/master/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Yang2446/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YangYongJin/APEX
https://github.com/YanyingZH/srgan-esrgan-pytorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Yashgh7076/CPSC-8810-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Yashgh7076/Eluvio-ML-Scene-Segmentation
https://github.com/Yijunmaverick/GenerativeFaceCompletion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.