https://github.com/SohamSarfare/ADS
RetinaFace: Single-stage Dense Face Localisation in the Wild
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/Soldie/DeOldify-colorir-imagens-antigas
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Soldie/insightface-Rec.Face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/SongJieLiu/pfld
https://github.com/SonuDileep/3-D-Object-Detection-using-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SonyCSLParis/DrumGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Speacer/Super-Resolution-Generative-Adversarial-Networks
https://github.com/SpikeKing/Gaze4Landmarks
https://github.com/Spoorthy-gunda/Image-Classification
https://github.com/StanislasBertrand/RetinaFace-tf2
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/StanislasBertrand/retinaface4j
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Stephenfang51/Focal_loss_turtorial
https://github.com/StevenBanama/C3AE
C3AE: Exploring the Limits of Compact Model for Age Estimation
https://github.com/Suaro/pidroid
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/Suci2609/generate_train_list.py-
https://github.com/SupratimH/neural-style-transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Surya9787/suryaprakash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Sushma07/dancedarknet
https://github.com/SuyashSonawane/fakedetector
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/Swybino/PotatoNet
https://github.com/THHHomas/mls
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/TUM-ML-Lab18/FaceSwap
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Taeuk-Jang/pointcompletion
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Talgin/facerec
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TangrisJones/AI-dfa
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/Tao-Mind/QDD_Net
https://github.com/Taoudi/LotteryTicketHypothesis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Team-Neighborhood/awesome-face-detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Techyee/darknet_resource
https://github.com/TejasGode/One-Shot-Learning-for-Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Tencent/FaceDetection-DSFD
https://github.com/TencentYoutuResearch/Adv-Makeup
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
https://github.com/ThanasisMattas/smartflow
https://github.com/Thehunk1206/Covid-19-chest-X-ray
https://github.com/Thehunk1206/Covid-19-covidcnn
https://github.com/Thehunk1206/Zero-DCE
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.