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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/razayunus/ManhattanSLAM

공식 코드

ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames

https://github.com/razvancaramalau/Sequential-GCN-for-Active-Learning

공식 코드

Sequential Graph Convolutional Network for Active Learning

https://github.com/razvancaramalau/al_bhpe

공식 코드

Active Learning for Bayesian 3D Hand Pose Estimation

https://github.com/redorangeyellowy/AttentionHand

공식 코드

AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

https://github.com/redrock303/revisiting-temporal-alignment-for-video-restoration

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Revisiting Temporal Alignment for Video Restoration

https://github.com/rese1f/PoseDA

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Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation

https://github.com/researchmm/TTVSR

공식 코드

Learning Trajectory-Aware Transformer for Video Super-Resolution

https://github.com/researchmm/ftvsr

공식 코드

Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

https://github.com/researchmm/vqd-sr

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Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution

https://github.com/rezazad68/deep-intervertebral-disc-labeling

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Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling

https://github.com/rfabbri/minus

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Trifocal Relative Pose from Lines at Points and its Efficient Solution

https://github.com/rg2/xreg

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Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation

https://github.com/riselabpurdue/mbe-ari

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MBE-ARI: A Multimodal Dataset Mapping Bi-directional Engagement in Animal-Robot Interaction

https://github.com/rlsch/depth-conversions

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Converting Depth Images and Point Clouds for Feature-based Pose Estimation

https://github.com/rmbashirov/rgbd-kinect-pose

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Real-time RGBD-based Extended Body Pose Estimation

https://github.com/rmehrizi/multi-view-pose-estimation

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Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

https://github.com/robert80203/HuPR-A-Benchmark-for-Human-Pose-Estimation-Using-Millimeter-Wave-Radar

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HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar

https://github.com/robot-learning-freiburg/DITTO

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DITTO: Demonstration Imitation by Trajectory Transformation

https://github.com/robot-perception-group/airpose

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AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation

https://github.com/roboy/ball_and_socket_estimator

공식 코드

Ball-and-socket joint pose estimation using magnetic field

https://github.com/rohanpsingh/RapidPoseLabels

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Rapid Pose Label Generation through Sparse Representation of Unknown Objects

https://github.com/rohanpsingh/objectkeypointtrainer

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Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations

https://github.com/rolpotamias/WiLoR

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WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild

https://github.com/rongakowang/deepsimho

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DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation

https://github.com/rongakowang/densemutualattention

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Interacting Hand-Object Pose Estimation via Dense Mutual Attention

https://github.com/roth-hex-lab/asdf

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ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation

https://github.com/roth-hex-lab/gbot

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GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance

https://github.com/roym899/pose_and_shape_evaluation

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On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation

https://github.com/rozumden/DeFMO

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DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

https://github.com/rozumden/deblatting_python

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Intra-frame Object Tracking by Deblatting

https://github.com/rozumden/fmo-deblurring-benchmark

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DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

https://github.com/rpytel1/occlusion-vs-data-augmentations

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Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions

https://github.com/rsanchezgarc/cesped

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CESPED: a new benchmark for supervised particle pose estimation in Cryo-EM

https://github.com/rsy6318/CorrI2P

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CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

https://github.com/rtous/lester

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Lester: rotoscope animation through video object segmentation and tracking

https://github.com/rtqichen/torchdiffeq

공식 코드

Neural Ordinary Differential Equations

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