Papers with Code 아카이브

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/charrrrrlie/x-as-supervision

공식 코드

X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation

https://github.com/cleardusk/3DDFA

공식 코드

Face Alignment in Full Pose Range: A 3D Total Solution

https://github.com/clovaai/meev

공식 코드

MEEV: Body Mesh Estimation On Egocentric Video

https://github.com/cure-lab/DeciWatch

공식 코드

DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation

https://github.com/cure-lab/SmoothNet

공식 코드

SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

https://github.com/deepmind/Temporal-3D-Pose-Kinetics

공식 코드

Exploiting temporal context for 3D human pose estimation in the wild

https://github.com/deepwise888/ochid-fi

공식 코드

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision

https://github.com/fabbrimatteo/LoCO

공식 코드

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

https://github.com/fabro66/GAST-Net-3DPoseEstimation

공식 코드

A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video

https://github.com/facebookresearch/eft

공식 코드

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation

https://github.com/facebookresearch/frankmocap

공식 코드

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

https://github.com/facebookresearch/multi_view_active_learning

공식 코드

Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training

https://github.com/genintel/uns-obj-pose3d

공식 코드

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos

https://github.com/georgeretsi/mushroom-pose

공식 코드

Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding

https://github.com/gnns4hri/3d_multi_pose_estimator

공식 코드

Multi-person 3D pose estimation from unlabelled data

https://github.com/google-research/google-research

공식 코드

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

https://github.com/google-research/google-research/tree/master/implicit_pdf

공식 코드

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

https://github.com/google-research/google-research/tree/master/keypose

공식 코드

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

https://github.com/google-research/google-research/tree/master/special_orthogonalization

공식 코드

An Analysis of SVD for Deep Rotation Estimation

https://github.com/google/mediapipe

공식 코드

BlazePose: On-device Real-time Body Pose tracking

https://github.com/graformer/graformer

공식 코드

GraFormer: Graph Convolution Transformer for 3D Pose Estimation

https://github.com/henrytsui000/pose

공식 코드

POSE: Pose estimation Of virtual Sync Exhibit system

https://github.com/hhchoi80/hkpose3d

공식 코드

Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks

https://github.com/howiema/transfusion-pose

공식 코드

TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation

https://github.com/hyer/hdformer

공식 코드

HDFormer: High-order Directed Transformer for 3D Human Pose Estimation

https://github.com/icitylab/posegraf

공식 코드

PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation

https://github.com/idiap/residual_pose

공식 코드

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation

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

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

https://github.com/jiahaoLjh/trajectory-pose-3d

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Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation

https://github.com/jimmyzou/snipper

공식 코드

Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

https://github.com/kyungminjin/hanet

공식 코드

Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos

https://github.com/laurabragagnolo/human3.6m-occluded

공식 코드

Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation

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

공식 코드

Deep High-Resolution Representation Learning for Human Pose Estimation

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