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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/fang-haoshu/halpe-fullbody

공식 코드

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

https://github.com/fanglaosi/skeleton-in-context

공식 코드

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

https://github.com/fanglinpu/JGR-P2O

공식 코드

JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image

https://github.com/fcdl94/RobotChallenge

공식 코드

The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots

https://github.com/fcongrui/3dattgan

공식 코드

3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution

https://github.com/fdcl-gwu/tnn-mo

공식 코드

Deep Transformer Network for Monocular Pose Estimation of Ship-Based UAV

https://github.com/fedenoce/s2l-s2d

공식 코드

Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation

https://github.com/feixue94/imp-release

공식 코드

IMP: Iterative Matching and Pose Estimation with Adaptive Pooling

https://github.com/fengyuentau/pytorch-flops

공식 코드

Detect Faces Efficiently: A Survey and Evaluations

https://github.com/ffrivera0/reloc3r

공식 코드

Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization

https://github.com/fhagelskjaer/pin-segmentation

공식 코드

In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components

https://github.com/figlab/imuposer

공식 코드

IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

https://github.com/filipalino/blendmimic3d

공식 코드

3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement

https://github.com/filipalino/gcn-pose-refinement

공식 코드

3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement

https://github.com/fischer-tom/inemo

공식 코드

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

https://github.com/fiy2w/treatment-aware-longitudinal-registration

공식 코드

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection

https://github.com/flakeua/bachelorsthesis

공식 코드

Appearance-based gaze estimation enhanced with synthetic images using deep neural networks

https://github.com/florasion/d-vqvae

공식 코드

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

https://github.com/florianlanger/sparc

공식 코드

SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image

https://github.com/foollh/picopose

공식 코드

PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation

https://github.com/fraluca/stsgcn

공식 코드

Space-Time-Separable Graph Convolutional Network for Pose Forecasting

https://github.com/fraunhoferhhi/casapose

공식 코드

CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation

https://github.com/fraunhoferhhi/spvloc

공식 코드

SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

https://github.com/fregu856/ebms_regression

공식 코드

Energy-Based Models for Deep Probabilistic Regression

https://github.com/frickyinn/SRPose

공식 코드

SRPose: Two-view Relative Pose Estimation with Sparse Keypoints

https://github.com/fudan-zvg/efficient4d

공식 코드

Efficient4D: Fast Dynamic 3D Object Generation from a Single-view Video

https://github.com/fudan-zvg/meta-prompts

공식 코드

Harnessing Diffusion Models for Visual Perception with Meta Prompts

https://github.com/fulliu/lc

공식 코드

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

https://github.com/fyang235/DAEC

공식 코드

Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation

https://github.com/fylwen/disp-6d

공식 코드

DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation

https://github.com/fylwen/htt

공식 코드

Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos

https://github.com/gajdosech2/bin-detect

공식 코드

Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans

https://github.com/galib360/facexhubert

공식 코드

FaceXHuBERT: Text-less Speech-driven E(X)pressive 3D Facial Animation Synthesis Using Self-Supervised Speech Representation Learning

https://github.com/ganwanshui/es6d

공식 코드

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

https://github.com/gaobb/DLDL

공식 코드

Deep Label Distribution Learning with Label Ambiguity

https://github.com/garfield-kh/posetriplet

공식 코드

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

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