https://github.com/jiahaoLjh/PoseGrouping
공식 코드Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
<span style="color:grey; opacity: 0.6">( Image credit: Human Pose Estimation with TensorFlow )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
PoseFix: Model-agnostic General Human Pose Refinement Network
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
LAMP: Leveraging Language Prompts for Multi-person Pose Estimation
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
Semi-supervised Human Pose Estimation in Art-historical Images
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation
SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images
VoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose Estimation
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.