Papers with Code 아카이브
3D Multi-Person Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 5
- 보존된 평가 기록
- 77
This task aims to solve root-relative 3D multi-person pose estimation. No human bounding box and root joint coordinate groundtruth are used in testing time.
<span style="color:grey; opacity: 0.6">( Image credit: RootNet )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Multi-person Physics-based Pose Estimation for Combat Sports
RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild
Reconstructing Groups of People with Hypergraph Relational Reasoning
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
A Unified Multi-view Multi-person Tracking Framework
Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
Dynamic Graph Reasoning for Multi-person 3D Pose Estimation
QuickPose: Real-time Multi-view Multi-person Pose Estimation in Crowded Scenes
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
Direct Multi-view Multi-person 3D Pose Estimation
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
Real-time, low-cost multi-person 3D pose estimation
Shape-aware Multi-Person Pose Estimation from Multi-View Images
SPEC: Seeing People in the Wild with an Estimated Camera
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.