https://github.com/onwan946/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
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/oorrppp2/darknet-pose
https://github.com/opeco17/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/open-mmlab/mmdetection
https://github.com/open-mmlab/mmgeneration
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/open-mmlab/mmpose
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
https://github.com/open-mmlab/mmsegmentation
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
https://github.com/osmr/imgclsmob
https://github.com/ozora-ogino/LCNN
https://github.com/p0werweirdo/tagfcl
Compacting, Picking and Growing for Unforgetting Continual Learning
https://github.com/paarthneekhara/adversarialdeepfakes
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
https://github.com/pacifinapacific/StyleGAN_LatentEditor
Interpreting the Latent Space of GANs for Semantic Face Editing
https://github.com/paddorch/SelfAttnSent.paddle
https://github.com/papermsucode/2020bboxrestoration
https://github.com/paradocx/LARNet
https://github.com/parthapratimbanik/facial-keypoint-detection-udacity-ppb
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/parvatijay2901/FaceNet_FR
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/pasrichashivam/hyperface_deep_multi-task-learning_keras_implementation
https://github.com/patelmiteshn/darknet
https://github.com/patrick-batman/Angular-Knowledge-Distillation
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
https://github.com/pedrobvidal/insightface
Sample and Computation Redistribution for Efficient Face Detection
https://github.com/peiyunh/tiny
https://github.com/pengrenlai/RetinaNet-tensorflow
https://github.com/pengsongyou/OMG-ADSC
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/penincillin/DREAM
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
https://github.com/peterhan91/thorax_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/petermankowski510/facenet_test
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/peteryuX/arcface-tf2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/peteryuX/esrgan-tf2
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/peteryuX/retinaface-tf2
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/petrum01/Capstone_project_object_detection
https://github.com/pgtinsley/insightface_oge
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/phamquiluan/ResidualMaskingNetwork
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/phongdinhv/triplet-loss-keras-mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/phuijse/MATIC
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.