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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/jacklangerman/dance

공식 코드

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

https://github.com/jackwoo0831/depthmot

공식 코드

DepthMOT: Depth Cues Lead to a Strong Multi-Object Tracker

https://github.com/jaewoo97/t2p

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Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

https://github.com/jaisharmz/geocentric-pose

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A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose Prediction

https://github.com/jameelhassan/poseestimation

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To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network

https://github.com/jameslong199/autonomous-transducer-project

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Localizing Scan Targets from Human Pose for Autonomous Lung Ultrasound Imaging

https://github.com/jamycheung/matchformer

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MatchFormer: Interleaving Attention in Transformers for Feature Matching

https://github.com/jarvisyjw/gv-bench

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GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection

https://github.com/jasonyzhang/phd

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Predicting 3D Human Dynamics from Video

https://github.com/javrtg/c2p

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From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation

https://github.com/jayrmh/QAERTS

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Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

https://github.com/jcorsetti/fcgf6d

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Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation

https://github.com/jeff-sjtu/dnd

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D&D: Learning Human Dynamics from Dynamic Camera

https://github.com/jeff-sjtu/niki

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NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation

https://github.com/jeffery9707/diffslva

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DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization

https://github.com/jfzhang95/BMP

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Body Meshes as Points

https://github.com/jfzhang95/PoseAug

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PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

https://github.com/jhacsonmeza/MarkerPose

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MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation

https://github.com/jhacsonmeza/StructuredLight_3DfreehandUS

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Three-dimensional multimodal medical imaging system based on free-hand ultrasound and structured light

https://github.com/jhong93/vpd

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Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

https://github.com/jhu-lcsr/costar_plan

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The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

https://github.com/jiahaoLjh/HumanDepth

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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/PoseGrouping

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Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping

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/jiahuilei/mosca

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MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

https://github.com/jiangsutx/SPMC_VideoSR

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Detail-revealing Deep Video Super-resolution

https://github.com/jianwang-mpi/GlobalEgoMocap

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Estimating Egocentric 3D Human Pose in Global Space

https://github.com/jianwang-mpi/SceneEgo

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Scene-aware Egocentric 3D Human Pose Estimation

https://github.com/jiawei-ren/BalancedMSE

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Balanced MSE for Imbalanced Visual Regression

https://github.com/jiehonglin/sam-6d

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SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

https://github.com/jiehonglin/self-dpdn

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Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

https://github.com/jiehonglin/vi-net

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VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations

https://github.com/jihoonerd/Conditional-Motion-In-Betweening

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Conditional Motion In-betweening

https://github.com/jike5/LATITUDE

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LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF

https://github.com/jimmyyhwu/pose-interpreter-networks

공식 코드

Real-Time Object Pose Estimation with Pose Interpreter Networks

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