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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/open-starlab/trackid3x3

공식 코드

TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos

https://github.com/opencv/openvino_training_extensions

공식 코드

Global Context for Convolutional Pose Machines

https://github.com/opengvlab/hulk

공식 코드

Hulk: A Universal Knowledge Translator for Human-Centric Tasks

https://github.com/opengvlab/humanbench

공식 코드

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

https://github.com/opengvlab/unihcp

공식 코드

UniHCP: A Unified Model for Human-Centric Perceptions

https://github.com/opengvlab/visionllm

공식 코드

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

https://github.com/opentrack/neuralnet-tracker-traincode

공식 코드

On the power of data augmentation for head pose estimation

https://github.com/openxrlab/xrfeitoria

공식 코드

WHAC: World-grounded Humans and Cameras

https://github.com/openxrlab/xrlocalization

공식 코드

Improving Feature-based Visual Localization by Geometry-Aided Matching

https://github.com/opipari/clearpose

공식 코드

ClearPose: Large-scale Transparent Object Dataset and Benchmark

https://github.com/oppo-us-research/PoP-Net

공식 코드

PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image

https://github.com/orhir/EdgeCape

공식 코드

Edge Weight Prediction For Category-Agnostic Pose Estimation

https://github.com/orhir/PoseAnything

공식 코드

A Graph-Based Approach for Category-Agnostic Pose Estimation

https://github.com/orhir/stg-nf

공식 코드

Normalizing Flows for Human Pose Anomaly Detection

https://github.com/ostadabbas/Infant-Pose-Estimation

공식 코드

Invariant Representation Learning for Infant Pose Estimation with Small Data

https://github.com/ostadabbas/SLP-Dataset-and-Code

공식 코드

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

https://github.com/ostadabbas/SPAC-Net-Synthetic-Pose-aware-Animal-ControlNet

공식 코드

SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation

https://github.com/ostadabbas/ScanAvaGenerationToolkit

공식 코드

A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines

https://github.com/ostadabbas/adaptedhumanpose

공식 코드

Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data

https://github.com/ostadabbas/hw-hup

공식 코드

Heuristic Weakly Supervised 3D Human Pose Estimation

https://github.com/ostadabbas/infant-postural-symmetry

공식 코드

Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations

https://github.com/ostadabbas/infant-upper-body-postural-symmetry

공식 코드

Automatic Assessment of Infant Face and Upper-Body Symmetry as Early Signs of Torticollis

https://github.com/ostadabbas/nns-detection-and-segmentation

공식 코드

A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

https://github.com/ostadabbas/prior-aware-synthetic-data-generation-pasyn-

공식 코드

Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data

https://github.com/ostadabbas/tepose

공식 코드

Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation

https://github.com/otaheri/GRAB

공식 코드

GRAB: A Dataset of Whole-Body Human Grasping of Objects

https://github.com/otl-artorg/instrument-pose

공식 코드

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

https://github.com/owensun2004/Manual2Skill

공식 코드

Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models

https://github.com/oxpig/cesped

공식 코드

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

https://github.com/paTRICK-swk/Pose3D-RIE

공식 코드

Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation

https://github.com/padeler/pe-former

공식 코드

PE-former: Pose Estimation Transformer

https://github.com/pandorgan/apt

공식 코드

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking

https://github.com/pandorgan/apt-36k

공식 코드

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking

https://github.com/parkjaewoo0611/dprost

공식 코드

DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation

https://github.com/paroj/ycbev

공식 코드

YCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation

https://github.com/parskatt/dad

공식 코드

DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection

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