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Pose Estimation

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하위 태스크: 17
평가표: 31
보존된 평가 기록: 235

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>

코드

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

https://github.com/decayale/rnnpose

공식 코드

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization

https://github.com/deepgogogo/CAGNet

공식 코드

Consistency-Aware Graph Network for Human Interaction Understanding

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

공식 코드

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

https://github.com/deepmind/threednel

공식 코드

3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation

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

공식 코드

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

https://github.com/deinal/infant-aagcn

공식 코드

Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networks

https://github.com/delaprada/handsynthesis

공식 코드

Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation

https://github.com/denyingmxd/CVCDepth

공식 코드

Towards Cross-View-Consistent Self-Supervised Surround Depth Estimation

https://github.com/desai-nisarg/openapepose

공식 코드

OpenApePose: a database of annotated ape photographs for pose estimation

https://github.com/deyingk/agmn

공식 코드

Adaptive Graphical Model Network for 2D Handpose Estimation

https://github.com/dingdingcai/ove6d-pose

공식 코드

OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation

https://github.com/dingdingcai/sc6d-pose

공식 코드

SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation

https://github.com/dingmyu/D4LCN

공식 코드

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

https://github.com/dingmyu/HR-NAS

공식 코드

HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers

https://github.com/dingpx/eai

공식 코드

Expressive Forecasting of 3D Whole-body Human Motions

https://github.com/dingthuang/sd-net

공식 코드

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios

https://github.com/dkgupta90/re-siamnet

공식 코드

Rotation Equivariant Siamese Networks for Tracking

https://github.com/dlalth557/ActMST

공식 코드

Activating Self-Attention for Multi-Scene Absolute Pose Regression

https://github.com/dlr-rm/3dobjecttracking

공식 코드

SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World

https://github.com/dluvizon/3d-pose-consensus

공식 코드

Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates

https://github.com/dluvizon/deephar

공식 코드

Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition

https://github.com/dluvizon/pose-regression

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Human Pose Regression by Combining Indirect Part Detection and Contextual Information

https://github.com/dmklee/image2sphere

공식 코드

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

https://github.com/dmlc/xgboost

공식 코드

XGBoost: A Scalable Tree Boosting System

https://github.com/dmoltisanti/brace

공식 코드

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis

https://github.com/dominickrei/poseawarevt

공식 코드

Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers

https://github.com/dongzhou-1996/gknet

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GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft

https://github.com/dongzhou-1996/sncoat

공식 코드

Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning

https://github.com/donydchen/mvsplat

공식 코드

MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

https://github.com/dornik/reagent

공식 코드

ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

https://github.com/dornik/verefine

공식 코드

VeREFINE: Integrating Object Pose Verification with Physics-guided Iterative Refinement

https://github.com/doughtmw/hmd-ego-pose

공식 코드

HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance

https://github.com/dptech-corp/Uni-Mol

공식 코드

Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction

https://github.com/dragonlong/articulated-pose

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Category-Level Articulated Object Pose Estimation

https://github.com/dreammr/pcl

공식 코드

Pose-disentangled Contrastive Learning for Self-supervised Facial Representation

https://github.com/droliven/diverse_sampling

공식 코드

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

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