https://github.com/Afsaan/CNN-Architectures
Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 94
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/Aggrathon/MtGan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Agrover112/SiameseNet-Search
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AlexHex7/DRML_pytorch
https://github.com/AlexeiKaplenko/FaceShifter_mine
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/AlexeyAB/darknet
https://github.com/AlfredoZermini/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AlgoHunt/Face-Xray
https://github.com/Alireza-Akhavan/face-quality-metrics
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
https://github.com/AlvesRobot/Deep-Learning-on-Point-Cloud-for-3D-Classification-and-Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AmirSh15/FECNet
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/AmrElsersy/Emotions-Recognition
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/AmrElsersy/PFLD-Pytorch-Landmarks
https://github.com/AmrTarekk/Attendence-system-using-Facial-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ananaskelly/TPE
Triplet Probabilistic Embedding for Face Verification and Clustering
https://github.com/Anaststam/Facial-Keypoints-detection
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/Ander02/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Anderies/stochastic-constant-pruninglayers
https://github.com/AndreasWieg/PC-PGGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/AndreiMoraru123/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Andribi/A2MF_AP
https://github.com/AngeloManzatto/FacialKeypoints
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/AngusG/bn-advex-zhang-fixup
https://github.com/Aniket7/VGGNet-CNN-architecture
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Anil1331/Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AnjanaGJoseph/Super-Resolution-GAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Anuranjan-Kumar/Face-Detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Anuranjan-Kumar/kaggle_cats-vs-dogs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ArMaxik/Progressive_growing_of_GANs-Pytorch_implementation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ArifRaihan/Deeper-CNN-Architectures-for-Image-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Armxyz1/Results-on-RFW
https://github.com/Arneli/image-generator-for-BScThesis
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
https://github.com/Arpan-Mishra/Selfie-Filter-Project
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/ArsenalCheng/Meta-Adapter
https://github.com/ArturPrzybysz/MNIST-siamese
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ArturPrzybysz/siamese-CNN-cat-vs-dogs
FaceNet: A Unified Embedding for Face Recognition and Clustering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.