https://github.com/rohansuresh27/FaceNet_face_verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
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/rohith2506/facedetect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/rohithv/Grammatical-facial-expression-recognition
Grammatical facial expression recognition using customized deep neural network architecture
https://github.com/romaintha/pytorch_pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ronghuaiyang/arcface-pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ronny3050/AdvFaces
https://github.com/roomylee/self-attentive-emb-tf
https://github.com/roscibely/gender-prediction
Predicting Gender by First Name Using Character-level Machine Learning
https://github.com/rosinality/progressive-gan-pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/rowerliu/adbd
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/rowerliu/add
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/roysai/Humpback-whale-identity-challenge
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ruidaniel/rbaca
https://github.com/ruinmessi/RFBNet
https://github.com/run-youngjoo/SC-FEGAN
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
https://github.com/rupaai/60DaysOfUdacity
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ryanwebster90/gen-overfitting-latent-recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
https://github.com/ryubidragonfire/mydarknet
https://github.com/s3nh/unet-midv500
https://github.com/saaries/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/saber2011/darknet
https://github.com/saednasir/Helmet_Yolo
https://github.com/sagpant/3dmm_cnn
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
https://github.com/saiamrit/Facenet-pytorch
https://github.com/saic-fi/bayesian-prompt-learning
https://github.com/sainimohit23/FaceNet-Real-Time-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/saiteja-talluri/Speech2Face
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
https://github.com/sajjjadayobi/FaceLib
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/samisoto/keras_cosine_based_loss
L2-constrained Softmax Loss for Discriminative Face Verification
https://github.com/samsonadmin/modified-alexeyab-darknet
https://github.com/samuelyu2002/PFLD
https://github.com/sanantoniochili/PointCloud_KNN
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/sanaullah-ashfat/Face-recognition-with-Arcface-Tensorflow
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/sanaullah-ashfat/Face-recognition-with-Arcface-Tensowflow-
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/sangyun884/Face2Webtoon
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
https://github.com/sangyun884/WebtoonFaces
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.