https://github.com/discipleofhamilton/RetinaFace
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/dishen12/py03
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/divelab/vqa-text
https://github.com/djcustard/GestureGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/djwhsdj/vw-sdk
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/dl-maxwang/blazeface-tensorflow
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/dmizr/phuber
https://github.com/dmlc/gluon-nlp
https://github.com/dmonterom/face_recognition_TF2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/dnddnjs/pytorch-cifar10
https://github.com/do4am/MultiviewFaceDetector
Multi-view Face Detection Using Deep Convolutional Neural Networks
https://github.com/doanmanhduy0210/ResearchPaperfacerecognitions
https://github.com/doantienthongbku/ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/doantienthongbku/Implementation-patchnet
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
https://github.com/donnyyou/pytorch-lffd
https://github.com/donshen/pointnet.phasedetection
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/donydchen/ganimation_replicate
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/douglas125/SpeechIdentity
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/dpressel/rude-carnie
https://github.com/drewbarot/Un-CNN
A General Framework for Adversarial Examples with Objectives
https://github.com/drhdr-user/drhdr
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/dssbxx/k_labels_resnet50
https://github.com/dthiagarajan/ptb-xl-research
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
https://github.com/dtthi/darknetAlexeyAB
https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI
https://github.com/ducongju/HRNet
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/dude123studios/SmarterRingV2
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/dvndra/face_recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/dwaithe/darknet3AB
https://github.com/dwtstore/sfm1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/e-solutions-GmbH/TensorFlow-iEVM
Exploring the Open World Using Incremental Extreme Value Machines
https://github.com/e0015274/darknet
https://github.com/e4s2022/e4s
https://github.com/easternCar/Face-Parsing-Network
https://github.com/edgarrt/custom_darknet
https://github.com/edocollins/DFF
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.