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/code-implementation1/Code9/tree/main/vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/code-kage/facenet_mini
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/code-trip/insightface-mxnet
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/coderwangson/Face-anti-spoofing-based-on-color-texture-analysis
https://github.com/coderwangson/Learn-Convolutional-Neural-Network-for-Face-Anti-Spoofing_pytorch
https://github.com/comratvlad/sv_softmax
https://github.com/convergencelab/ProgressiveGAN-SR
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/cornell-zhang/allo-pldi24-artifact
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/coronnie/HouseGuard
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/crishy1995/headnerf
https://github.com/cryu854/ArbitraryStyle
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/cryu854/ArbitraryStyle-tfjs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/cs-giung/FSRNet-pytorch
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
https://github.com/csm-kr/Retinanet_pytorch
https://github.com/cuguilke/microexpnet
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images
https://github.com/cuiziteng/iccv_maet
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/cuiziteng/maet
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/cviaai/PSF-GAN-ESTIMATION
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/cvqluu/Additive-Margin-Softmax-Loss-Pytorch
https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch
https://github.com/cvtower/SeesawNet-pytorch-reimplement
SeesawFaceNets: sparse and robust face verification model for mobile platform
https://github.com/cvtower/SeesawNet_pytorch
SeesawFaceNets: sparse and robust face verification model for mobile platform
https://github.com/cvtower/seesawfacenet_pytorch
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/cydonia999/Tiny_Faces_in_Tensorflow
https://github.com/cydonia999/VGGFace2-pytorch
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/d-shivam/Pose-estimation-based-action-recognition-for-help-Situation-Identification
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/daimonae/Fundus-Image-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/dakenan1/Everybody-Dance-Now
https://github.com/dalisson/am_softmax
https://github.com/danielamassiceti/CCA-visualdialogue
https://github.com/danielparada1/RL_SpaceInvaders
https://github.com/danmohaha/CVPRW2019_Face_Artifacts
Exposing DeepFake Videos By Detecting Face Warping Artifacts
https://github.com/danmohaha/WIFS2018_In_Ictu_Oculi
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
https://github.com/darkAlert/retinafacert
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/darrishabh/coviprox
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.