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/abuchin/face_recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/abuchin/resnet_sign
https://github.com/aby2s/sharpmask
https://github.com/acnazarejr/fdet
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/adambielski/siamese-triplet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aditya26-09/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/adjanni/Facial_Keypoints_Detection_w_CNN--Pytorch
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/adldotori/ResNet
https://github.com/adldotori/pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/adobe-research/MakeItTalk
https://github.com/aejion/neuface
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
https://github.com/affromero/SMILE
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/afourast/avobjects
https://github.com/afrazsalim/WebBasedGameWithNodeJs
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/agrawalparth10/Face-is-the-Key
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/agutuyen-dev/darknet
https://github.com/ahhan02/darknet-alex
https://github.com/ahmad0790/svhn-multi-digit-address-recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ahmed-anas/thesis-pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ahmed127011/RNDF
https://github.com/ahmedbesbes/whales-classification
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ahmedbhna/VGG_Paper
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/aiinai/tf-insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/aiiu-lab/dfd-fcg
https://github.com/aimagelab/elsa_coco-fake
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
https://github.com/ainrichman/Peppa-Facial-Landmark-PyTorch
https://github.com/ajaystar8/PDRUNet-PyTorch
https://github.com/ajertec/PointNetKeras
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ajhamdi/AdvPC
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ajinkyabedekar/Face-to-Emoji
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/ajithvallabai/getsetgo_keras-beginner
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/akamaster/pytorch_resnet_cifar10
https://github.com/akanimax/T2F
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/akanimax/pro_gan_pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/akar5h/Image-Recognition-with-CNN-and-Transfer-Learning-ResNet101
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.