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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/ruihangao/tactiledreamfusion

공식 코드

Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation

https://github.com/ruyilian/checkerpose

공식 코드

CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network

https://github.com/rvp-group/vbr-devkit

공식 코드

VBR: A Vision Benchmark in Rome

https://github.com/rwightman/pytorch-image-models

공식 코드

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

https://github.com/ryanxingql/winner-ntire22-vqe

공식 코드

Progressive Training of A Two-Stage Framework for Video Restoration

https://github.com/s-jingtao/self-srpe

공식 코드

Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation

https://github.com/sThalham/PyraPose

공식 코드

PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift

https://github.com/saidwivedi/DSR

공식 코드

Learning to Regress Bodies from Images using Differentiable Semantic Rendering

https://github.com/saidwivedi/POCO

공식 코드

POCO: 3D Pose and Shape Estimation with Confidence

https://github.com/saidwivedi/TokenHMR

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TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation

https://github.com/sail-sg/mvp

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Direct Multi-view Multi-person 3D Pose Estimation

https://github.com/sailor-z/dvmnet

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DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects

https://github.com/sair-lab/SeqACE

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Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information

https://github.com/sair-lab/iMatching

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iMatching: Imperative Correspondence Learning

https://github.com/samaonline/Trajectory-Regularization-Enhances-Self-Supervised-Geometric-Representation

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Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization

https://github.com/sankadivandya/ks-kss-dataset

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2D Pose Estimation based Child Action Recognition

https://github.com/saqibjaved1/MQAT

공식 코드

Modular Quantization-Aware Training for 6D Object Pose Estimation

https://github.com/sauradip/depthforecasting

공식 코드

How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting

https://github.com/scenediffuser/Scene-Diffuser

공식 코드

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

https://github.com/schmiddo/noposegs

공식 코드

Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose Initialization

https://github.com/scy639/extreme-two-view-geometry-from-object-poses-with-diffusion-models

공식 코드

Extreme Two-View Geometry From Object Poses with Diffusion Models

https://github.com/scy639/gen2sm

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Generalizable Single-view Object Pose Estimation by Two-side Generating and Matching

https://github.com/sdwyc/rolo

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ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle

https://github.com/seathiefwang/RankHeadPose

공식 코드

RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation

https://github.com/seblutz/JointFormer

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Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation

https://github.com/senakicir/ActiveMoCap

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ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

https://github.com/sense-x/unihead

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Unifying Visual Perception by Dispersible Points Learning

https://github.com/seonghwanseo/molvoxel

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PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling

https://github.com/seonghwanseo/pharmaconet

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PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling

https://github.com/sergeyprokudin/deep_direct_stat

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Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

https://github.com/sfchng/Gaussian-Activated-Radiance-Fields

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GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation

https://github.com/sh8/repose

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RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering

https://github.com/shahjahan0275/Flex-GCN

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Flexible graph convolutional network for 3D human pose estimation

https://github.com/shangbuhuan13/so-pose

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SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

https://github.com/shangwei5/st-avsr

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Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors

https://github.com/shanice-l/gdrnpp_bop2022

공식 코드

GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator

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