Papers with Code 아카이브

3D Multi-Person Pose Estimation (absolute)

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 0
평가표: 1
보존된 평가 기록: 14

This task aims to solve absolute 3D multi-person pose Estimation (camera-centric coordinates). No ground truth human bounding box and human root joint coordinates are used during testing stage.

<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/jiahaoLjh/HumanDepth

공식 코드

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

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/vegesm/depthpose

공식 코드

Absolute Human Pose Estimation with Depth Prediction Network

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

https://github.com/xingyizhou/pose-hg-3d

공식 코드

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

https://github.com/2xic/openpose-pigs

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

https://github.com/ECE740F21T01/pytorch-pose-hg-3d

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

https://github.com/ModelBunker/Lightweight-OpenPose-PyTorch

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

https://github.com/ataata107/Research-Papers-Implementations/tree/master/Single-shot%20multi%20person%203d%20body%20pose

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

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