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.
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https://github.com/EvgenyDyshlyuk/Deep_Learning_Face_Detection_Embeddings_Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/EvgenyDyshlyuk/Face_detection_embeddings_clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/EvgenyVendrov/DeepLearningCourse
Very Deep Convolutional Networks for Large-Scale Image Recognition
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https://github.com/FEIfei-coder/circle-loss-for-reid
Circle Loss: A Unified Perspective of Pair Similarity Optimization
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https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux
https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Android
https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux
https://github.com/Faceplugin-ltd/FaceRecognition-Android
https://github.com/FairUnlearn/detoxai
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
https://github.com/FanjieLUO/matlab
https://github.com/FirstPotatoMan/TensorflowJS_ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/FlameRB/Face-Detection-using-Deep-Learning
Multi-view Face Detection Using Deep Convolutional Neural Networks
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https://github.com/Fragjacker/Pointcloud-grad-CAM
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/FrancescoSaverioZuppichini/ResNet
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FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Fugu-Lin/facenet_pytorch
https://github.com/FuxiCV/pt_mesh_renderer
https://github.com/GKalliatakis/Keras-VGG16-places365
https://github.com/GOD-GOD-Autonomous-Vehicle/self-pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/GXU-GMU-MICCAI/PGAN-Paddle
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/GXYM/Focal-loss
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SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
https://github.com/GerardLiu96/FECNet
https://github.com/GilLevi/AgeGenderDeepLearning
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