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/shuShelby/main
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/shuliyao/GANimation_TL
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/shuuchen/HRNet
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/shyhyawJou/ArcFace-Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/sibozhang/Text2Video
https://github.com/sicxu/Deep3DFaceRecon_pytorch
https://github.com/siddharthbhonge/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sidify/resnet_focal_loss
https://github.com/sidward14/gan-lab
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/sijinkim/pggan-clone
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/simo-bat/Crack_detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/simon20010923/DDAMFN
https://github.com/simonjisu/nsmc_study
https://github.com/simonlevine/11785-project
https://github.com/simonlevine/clinical-longformer
https://github.com/sims-s/bird-gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/singh-shakti94/Deep-Learning-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/siqueira-hc/Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
https://github.com/sitegui/ceci-nest-pas-un-chat
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sithu31296/EasyFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/sithu31296/pose-estimation
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/skbadhsm/darknet2
https://github.com/skkuse02/2019fall_41class_team8
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/skymanaditya1/FaceOff
https://github.com/slawekslex/ArcFace_Explained
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/smc-x/ms-resnetv2
https://github.com/smfirmin/DeepLearningFinalProject
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/smhall97/deep_dreaming_music
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/smkim7-kr/toy-projects/tree/master/ArcFace-visualization
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/smu-ivpl/DeepfakeDetection
https://github.com/sobieskibj/rcsb
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/soccergame/darknet
https://github.com/solapark/da_yolo
https://github.com/solapark/darknet_interpark
https://github.com/solapark/darknet_partdet
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