Papers with Code 아카이브
Face Reconstruction
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Face reconstruction is the task of recovering the facial geometry of a face from an image.
<span style="color:grey; opacity: 0.6">( Image credit: Microsoft Deep3DFaceReconstruction )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
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FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rohansuresh27/FaceNet_face_verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rohith2506/facedetect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ronny3050/AdvFaces
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https://github.com/roscibely/gender-prediction
Predicting Gender by First Name Using Character-level Machine Learning
https://github.com/roshankoirala/Fire_Detection_Model
Very Deep Convolutional Networks for Large-Scale Image Recognition
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
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https://github.com/roysai/Humpback-whale-identity-challenge
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rtanno21609/AdaptiveNeuralTrees
https://github.com/ruidaniel/rbaca
https://github.com/ruinmessi/RFBNet
Very Deep Convolutional Networks for Large-Scale Image Recognition
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/ry/tensorflow-resnet
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
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Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sagpant/3dmm_cnn
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
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Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/saiamrit/Facenet-pytorch
https://github.com/saic-fi/bayesian-prompt-learning
https://github.com/saikrishnadas/ResNet-Pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.