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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/andyzeng/apc-vision-toolbox

공식 코드

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

https://github.com/angelvillar96/STLPose

공식 코드

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

https://github.com/angtian/neuralvs

공식 코드

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

https://github.com/angtian/voge

공식 코드

VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis

https://github.com/anibali/dsntnn

공식 코드

Numerical Coordinate Regression with Convolutional Neural Networks

https://github.com/anibali/margipose

공식 코드

3D Human Pose Estimation with 2D Marginal Heatmaps

https://github.com/animaleyeq/cattleeyeview

공식 코드

CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming

https://github.com/anitarau/simcol

공식 코드

Bimodal Camera Pose Prediction for Endoscopy

https://github.com/antabangun/dualrefine

공식 코드

DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium

https://github.com/antof27/rgb-based-pose-classification

공식 코드

Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation

https://github.com/antonio521/motiongs

공식 코드

MotionGS : Compact Gaussian Splatting SLAM by Motion Filter

https://github.com/anxq/dapt

공식 코드

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

https://github.com/anxq/sharpose

공식 코드

SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation

https://github.com/apoorvabeedu/videopose

공식 코드

VideoPose: Estimating 6D object pose from videos

https://github.com/apple/ml-comotion

공식 코드

CoMotion: Concurrent Multi-person 3D Motion

https://github.com/apple/ml-fastvit

공식 코드

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

https://github.com/applied-ai-lab/zero-shot-pose

공식 코드

Zero-Shot Category-Level Object Pose Estimation

https://github.com/aqlaboratory/quickbind

공식 코드

QuickBind: A Light-Weight And Interpretable Molecular Docking Model

https://github.com/arangesh/Ground-Plane-Polling

공식 코드

Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road

https://github.com/aritra0593/Reinforced-Feature-Points

공식 코드

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task

https://github.com/arplaboratory/coped

공식 코드

CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments

https://github.com/arthur151/dynacam

공식 코드

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

https://github.com/arthurchen0518/DirectionNet

공식 코드

Wide-Baseline Relative Camera Pose Estimation with Directional Learning

https://github.com/asami-1/gdp

공식 코드

Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports

https://github.com/asanakoy/deeppose_tf

공식 코드

Deep Unsupervised Similarity Learning using Partially Ordered Sets

https://github.com/asankagp/mod20

공식 코드

A Multi-viewpoint Outdoor Dataset for Human Action Recognition

https://github.com/asheshjain399/RNNexp

공식 코드

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

https://github.com/ashstuff/dissm

공식 코드

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

https://github.com/asukacamellia/tcpformer

공식 코드

TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation

https://github.com/asw91666/trg-release

공식 코드

6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry

https://github.com/ataboukhadra/thor-net

공식 코드

THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision

https://github.com/atticuszeller/gsplatloc

공식 코드

GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting

https://github.com/augcog/dttd2

공식 코드

Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset

https://github.com/augcog/robust-digital-twin-tracking

공식 코드

Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset

https://github.com/autonomousvehiclelaboratory/anonymization

공식 코드

Robust Human Identity Anonymization using Pose Estimation

https://github.com/avauco/deeparuco

공식 코드

DeepArUco++: Improved detection of square fiducial markers in challenging lighting conditions

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