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3D Multi-Person Pose Estimation

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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>

코드

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

https://github.com/3dpose/3D-Multi-Person-Pose

공식 코드

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

https://github.com/3dpose/GnTCN

공식 코드

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

https://github.com/AIS-Bonn/SmartEdgeSensor3DHumanPose

공식 코드

Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors

https://github.com/AlvinYH/Faster-VoxelPose

공식 코드

Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

https://github.com/Arthur151/ROMP

공식 코드

Monocular, One-stage, Regression of Multiple 3D People

https://github.com/HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG

공식 코드

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry

https://github.com/IDEA-Research/OSX

공식 코드

One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer

https://github.com/JunukCha/MultiPerson

공식 코드

Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement

https://github.com/YadiraF/PIXIE

공식 코드

Collaborative Regression of Expressive Bodies using Moderation

https://github.com/boycehbz/GroupRec

공식 코드

Reconstructing Groups of People with Hypergraph Relational Reasoning

https://github.com/buptxyb666/AdaptivePose

공식 코드

AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression

https://github.com/caizhongang/SMPLer-X

공식 코드

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

https://github.com/hongsukchoi/3dcrowdnet_release

공식 코드

Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes

https://github.com/ivclab/Part-Aware_Measurement_for_3D_Pose_Estimation_and_Tracking

공식 코드

Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

https://github.com/jfzhang95/BMP

공식 코드

Body Meshes as Points

https://github.com/jiahaoLjh/HumanDepth

공식 코드

HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization

https://github.com/jiahaoLjh/PlaneSweepPose

공식 코드

Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo

https://github.com/jutanke/mv3dpose

공식 코드

Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views

https://github.com/longcw/crossview_3d_pose_tracking

공식 코드

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS

https://github.com/microsoft/voxelpose-pytorch

공식 코드

VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

https://github.com/mkocabas/PARE

공식 코드

PARE: Part Attention Regressor for 3D Human Body Estimation

https://github.com/mkocabas/SPEC

공식 코드

SPEC: Seeing People in the Wild with an Estimated Camera

https://github.com/mks0601/3DMPPE_POSENET_RELEASE

공식 코드

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE

공식 코드

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

https://github.com/mks0601/NeuralAnnot_RELEASE

공식 코드

Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild

https://github.com/naver/multi-hmr

공식 코드

Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot

https://github.com/nicolasugrinovic/size_depth_disambiguation

공식 코드

Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images

https://github.com/pixelite1201/agora_evaluation

공식 코드

AGORA: Avatars in Geography Optimized for Regression Analysis

https://github.com/sail-sg/mvp

공식 코드

Direct Multi-view Multi-person 3D Pose Estimation

https://github.com/ttxskk/AiOS

공식 코드

AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation

https://github.com/vchoutas/expose

공식 코드

Monocular Expressive Body Regression through Body-Driven Attention

https://github.com/vchoutas/smplify-x

공식 코드

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

https://github.com/vegesm/depthpose

공식 코드

Absolute Human Pose Estimation with Depth Prediction Network

https://github.com/vegesm/pose_refinement

공식 코드

Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People

https://github.com/vegesm/wdspose

공식 코드

Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision

https://github.com/wkom/virtualpose

공식 코드

VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data

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