Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/clinicalml/parametric-robustness-evaluation
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
https://github.com/cloudnine148/PHC_2nd_SPC
https://github.com/clvrai/representation-learning-by-learning-to-count
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/clxiao/Tiny_Faces_in_Tensorflow
https://github.com/cmusatyalab/openface
https://github.com/coconutzs/PointNet_zs
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/cocopambag/ResNet
https://github.com/code-implementation1/Code1/tree/main/DeepID
https://github.com/code-implementation1/Code3/tree/main/FaceAttribute
https://github.com/code-implementation1/Code3/tree/main/FaceDetection
https://github.com/code-implementation1/Code3/tree/main/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/code-implementation1/Code3/tree/main/FaceRecognitionForTracking
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/code-implementation1/Code3/tree/main/faceboxes
https://github.com/code-implementation1/Code4/tree/main/LightCNN
https://github.com/code-implementation1/Code5/tree/main/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/code-implementation1/Code5/tree/main/MaskedFaceRecognition
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
https://github.com/code-implementation1/Code5/tree/main/lresnet100e_ir
https://github.com/code-implementation1/Code6/tree/main/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/code-implementation1/Code6/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
https://github.com/code-implementation1/Code7/tree/main/ReIDStrongBaseline
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/code-implementation1/Code7/tree/main/resnetv2
https://github.com/code-implementation1/Code8/tree/main/sphereface
https://github.com/code-implementation1/Code9/tree/main/Arcface
https://github.com/code-implementation1/Code9/tree/main/YOLOv5
https://github.com/code-implementation1/Code9/tree/main/vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/code-kage/facenet_mini
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/code-trip/insightface-mxnet
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/coderwangson/Face-anti-spoofing-based-on-color-texture-analysis
https://github.com/coderwangson/Learn-Convolutional-Neural-Network-for-Face-Anti-Spoofing_pytorch
https://github.com/comratvlad/sv_softmax
https://github.com/convergencelab/ProgressiveGAN-SR
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/cornell-zhang/allo-pldi24-artifact
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/coronnie/HouseGuard
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/crishy1995/headnerf
https://github.com/cryu854/ArbitraryStyle
Very Deep Convolutional Networks for Large-Scale Image Recognition
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