3D Multi-Person Pose Estimation
32 papers with code • 5 benchmarks • 4 datasets
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.
( Image credit: RootNet )
Benchmarks
These leaderboards are used to track progress in 3D Multi-Person Pose Estimation
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Libraries
Use these libraries to find 3D Multi-Person Pose Estimation models and implementations
Panoptic
MuPoTS-3D
AGORA
Store dataset
Subtasks
Most implemented papers
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG
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ECCV 2020
In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation.
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
revanurambareesh/multiperson
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ECCV 2020
Our approach not only generalizes to in-the-wild images, but also yields a superior trade-off between speed and performance, compared to prior top-down approaches.
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
zju3dv/smap
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ECCV 2020
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
In multi-person pose estimation actors can be heavily occluded, even become fully invisible behind another person.
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
3dpose/GnTCN
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To tackle this problem, we propose a novel framework integrating graph convolutional networks (GCNs) and temporal convolutional networks (TCNs) to robustly estimate camera-centric multi-person 3D poses that do not require camera parameters.
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
3dpose/3D-Multi-Person-Pose
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CVPR 2021
Besides the integration of top-down and bottom-up networks, unlike existing pose discriminators that are designed solely for single person, and consequently cannot assess natural inter-person interactions, we propose a two-person pose discriminator that enforces natural two-person interactions.
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo
jiahaoLjh/PlaneSweepPose
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CVPR 2021
Existing approaches for multi-view multi-person 3D pose estimation explicitly establish cross-view correspondences to group 2D pose detections from multiple camera views and solve for the 3D pose estimation for each person.
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
hongsukchoi/3dcrowdnet_release
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CVPR 2022
Second, we propose a joint-based regressor that distinguishes a target person's feature from others.
PARE: Part Attention Regressor for 3D Human Body Estimation
Despite significant progress, we show that state of the art 3D human pose and shape estimation methods remain sensitive to partial occlusion and can produce dramatically wrong predictions although much of the body is observable.
AGORA: Avatars in Geography Optimized for Regression Analysis
pixelite1201/agora_evaluation
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CVPR 2021
Additionally, we fine-tune methods on AGORA and show improved performance on both AGORA and 3DPW, confirming the realism of the dataset.
