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Facial Landmark Detection

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하위 태스크: 3
평가표: 10
보존된 평가 기록: 38

Facial Landmark Detection is a computer vision task that involves detecting and localizing specific points or landmarks on a face, such as the eyes, nose, mouth, and chin. The goal is to accurately identify these landmarks in images or videos of faces in real-time and use them for various applications, such as face recognition, facial expression analysis, and head pose estimation.

<span style="color:grey; opacity: 0.6">( Image credit: Style Aggregated Network for Facial Landmark Detection )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1adrianb/unsupervised-face-representation

공식 코드

Pre-training strategies and datasets for facial representation learning

https://github.com/D-X-Y/SAN

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Style Aggregated Network for Facial Landmark Detection

https://github.com/D-X-Y/landmark-detection

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Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection

https://github.com/HongwenZhang/ECT-FaceAlignment

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Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection

https://github.com/Kartik-3004/facexformer

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FaceXFormer: A Unified Transformer for Facial Analysis

https://github.com/KeqiangSun/FAB

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FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

https://github.com/TadasBaltrusaitis/OpenFace

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Convolutional Experts Constrained Local Model for Facial Landmark Detection

https://github.com/VICO-UoE/L2I

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Learning to Impute: A General Framework for Semi-supervised Learning

https://github.com/abhi1kumar/LUVLi

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LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

https://github.com/aliprf/acr-loss

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ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment

https://github.com/aliprf/kd-loss

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Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks

https://github.com/andresprados/spiga

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Shape Preserving Facial Landmarks with Graph Attention Networks

https://github.com/asindel/artfacepoints

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ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints

https://github.com/browatbn2/3FabRec

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3FabRec: Fast Few-shot Face alignment by Reconstruction

https://github.com/chihfanhsu/fl_detection

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A Detailed Look At CNN-based Approaches In Facial Landmark Detection

https://github.com/cyf-cuber/mol

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MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

https://github.com/fengju514/Expression-Net

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ExpNet: Landmark-Free, Deep, 3D Facial Expressions

https://github.com/fengju514/Face-Pose-Net

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FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/germino-liuhe/dsat

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Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer

https://github.com/jamt9000/DVE

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Unsupervised Learning of Landmarks by Descriptor Vector Exchange

https://github.com/jhb86253817/PIPNet

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Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild

https://github.com/jin-s13/COCO-WholeBody

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Whole-Body Human Pose Estimation in the Wild

https://github.com/junwan2014/MMDN-master

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Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks

https://github.com/justusschock/shapenet

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Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters

https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

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High-Resolution Representations for Labeling Pixels and Regions

https://github.com/lisha-chen/Deep-structured-facial-landmark-detection

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Deep Structured Prediction for Facial Landmark Detection

https://github.com/ltrottier/deep-collaboration-network

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Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection

https://github.com/mahdi-darvish/gans-augmented-pet-classifier

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Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection

https://github.com/mosamdabhi/3dlfm

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3D-LFM: Lifting Foundation Model

https://github.com/natanielruiz/dockerface

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Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container

https://github.com/nerminsamet/HPRNet

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HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

https://github.com/nothingelse92/AnchorFace

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AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses

https://github.com/sbelharbi/structured-output-ae

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Deep Neural Networks Regularization for Structured Output Prediction

https://github.com/sowwnn/KFusion-Dual-Domain-for-Speech-to-Landmarks

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KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation

https://github.com/taldatech/deep-latent-particles-pytorch

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Unsupervised Image Representation Learning with Deep Latent Particles

https://github.com/teslatasy/popos

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POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search

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