https://github.com/sunjungAn/Tensorflow2.x-CV
Very Deep Convolutional Networks for Large-Scale Image Recognition
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/sunlizhuang/YOLOv1-PaddlePaddle
https://github.com/sunnysoni97/single_image_fl
https://github.com/superaidou123/face_classification
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/suruoxi/DistanceWeightedSampling
https://github.com/susmith98/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/susomena/DeepSlowMotion
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/suyash0612/face_recognitionandverification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/svdesai/heading-date-estimation
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/svjack/Detector-in-Detector
https://github.com/sw-gong/spiralnet_plus
4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications
https://github.com/swasun/VQ-VAE-images
https://github.com/swayanshu/Deep-Fake-Detection
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
https://github.com/swetak20/Deep_into_CNNs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/swghosh/DeepFace
https://github.com/syiin/ann_cancer_detection
https://github.com/syiin/resnet_cancer_detection
https://github.com/t-ae/progan-s4tf
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/t0930198/backup
https://github.com/taekwan-lee/Virtual-Softmax-TF
https://github.com/tahasamavati/facial_expression_recognition_cnn
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/takhemlata/ssl_anti-spoofing
https://github.com/takiyu/hyperface
https://github.com/tallysprado/myDarknet
https://github.com/tamerthamoqa/facenet-pytorch-glint360k
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/tamnil/esp32-xtensa-study
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/taniokah/liarr2017
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tanjeffreyz/deep-residual-learning
https://github.com/tanmaysingha/2D-3D-FAN
https://github.com/taotaonice/FaceShifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/tarun-98/COMP8240_Project_GroupG
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/taufikxu/youtube
https://github.com/taylorlu/ghostvlad-speaker
https://github.com/tbmoon/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/tcheung99/ResNet_MiniProject
https://github.com/teemoeric/projet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.