Papers with Code 아카이브

Monocular 3D Human Pose Estimation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 1
보존된 평가 기록: 52

This task targets at 3D human pose estimation with a single RGB camera.

코드

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

https://github.com/SyBorg91/pose-estimation-detection

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

https://github.com/SyedUmaidAhmed/Pose-Detection-Sitting-Standing

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

https://github.com/UBC-Computer-Vision-Group/DwNet

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/Watson-BCA/HumanPostureRecognition

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

https://github.com/ZHONGCHUYUN/3d_pose_baseline_tf

A simple yet effective baseline for 3d human pose estimation

https://github.com/ahmedosman/STAR

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/ajda1992/convformer

ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention

https://github.com/akanazawa/hmr

End-to-end Recovery of Human Shape and Pose

https://github.com/andrewjong/SwapNet

Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation

https://github.com/anfidthtn/HAC

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

https://github.com/anilarmagan/HANDS19-Challenge-Toolbox

End-to-end Recovery of Human Shape and Pose

https://github.com/anuragmundhada/3dpose-demo-iitb

Learning 3D Human Pose from Structure and Motion

https://github.com/bastianwandt/RepNet

RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

https://github.com/chengjiali/DensePose3

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/chuanqichen/deepcoaching

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/chuxiaoselena/SparsenessMeetsDeepness

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

https://github.com/classner/up

Unite the People: Closing the Loop Between 3D and 2D Human Representations

https://github.com/dajes/DensePose-TorchScript

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/darkAlert/vibe-rt

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/denilson020898/baseline_3d_pose

A simple yet effective baseline for 3d human pose estimation

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

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

https://github.com/facebookresearch/DensePose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/facebookresearch/detectron

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/facebookresearch/detectron2/tree/master/projects/DensePose/

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/faheinrich/moon_pose_estimation_setup

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

https://github.com/faheinrich/moon_pose_with_detectron2

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

https://github.com/freedombenLiu/DensePose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/geopavlakos/ordinal-pose3d

Ordinal Depth Supervision for 3D Human Pose Estimation

https://github.com/h44rd/PoseTransferMayaPlugin

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

https://github.com/happyvictor008/High-order-GNN-LF-iter

A simple yet effective baseline for 3d human pose estimation

https://github.com/hz-ants/DensePose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/jaroslaw1007/Pose_Baseline_3D_PyTorch

A simple yet effective baseline for 3d human pose estimation

https://github.com/jarrodanderson/densepose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/jiajunhua/facebookresearch-DensePose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/jiajunhua/facebookresearch-Detectron

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/kaulquappe23/a2b_human_mesh

Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers

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