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3D Multi-Person Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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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.
Collaborative Regression of Expressive Bodies using Moderation
Body Meshes as Points
AGORA: Avatars in Geography Optimized for Regression Analysis
PARE: Part Attention Regressor for 3D Human Body Estimation
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation
Monocular, One-stage, Regression of Multiple 3D People
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Monocular Expressive Body Regression through Body-Driven Attention
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
AnimePose: Multi-person 3D pose estimation and animation
Single-shot 3D multi-person pose estimation in complex images
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Multi-Person 3D Human Pose Estimation from Monocular Images
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Absolute Human Pose Estimation with Depth Prediction Network
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.