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3D Pose Estimation

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하위 태스크

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평가표

7

보존된 평가 기록

14

코드

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

https://github.com/serviceberry3/3d-pose-baseline_android

A simple yet effective baseline for 3d human pose estimation

https://github.com/sidify/3d-pose-estimation

A simple yet effective baseline for 3d human pose estimation

https://github.com/sidsunny/human-pose-estimation-mlsp

A simple yet effective baseline for 3d human pose estimation

https://github.com/sourabhagrawal23/human-action-classification

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

https://github.com/strawberryfg/c2f-3dhm-human-caffe

Integral Human Pose Regression

https://github.com/strivebo/image_segmentation_dl

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/sudarsanGyrus/3D_Pose_VIBE

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/swathi-469/Teresa-Bot

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

https://github.com/tamasino52/UGCN

Motion Guided 3D Pose Estimation from Videos

https://github.com/tensorflow/models/tree/master/research/keypointnet

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning

https://github.com/thomasslloyd/FitSpatial

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/thoughtmachines/Human-Pose-Estimation-using-HRNets

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/ucbdrive/3d-vehicle-tracking

Joint Monocular 3D Vehicle Detection and Tracking

https://github.com/v1viswan/Domain_adaptation_in_HRNet

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/vietanhdev/tf-blazepose

BlazePose: On-device Real-time Body Pose tracking

https://github.com/visionNoob/hrnet_pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/vladmandic/blazepose

BlazePose: On-device Real-time Body Pose tracking

https://github.com/wangzt-halo/das

Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation

https://github.com/wsjzha/deep-high-resolution-net.pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/yangyi02/3d_pose_fine_grained

3D Pose Estimation for Fine-Grained Object Categories

https://github.com/yangyi02/finegrained-pose

3D Pose Estimation for Fine-Grained Object Categories

https://github.com/zhec/tf-pose-estimation

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

https://github.com/zhimingzo/modulated-gcn

A simple yet effective baseline for 3d human pose estimation

https://github.com/zju3dv/EasyMocap

Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

https://github.com/zju3dv/mvpose

Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

https://github.com/zju3dv/smap

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation

https://github.com/zuoym15/craves.ai

CRAVES: Controlling Robotic Arm with a Vision-based Economic System

https://gitlab.com/Percipiote/skelda

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.