Papers with Code 아카이브

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/Ascend-Research/Turtle

공식 코드

Learning Truncated Causal History Model for Video Restoration

https://github.com/B1ueber2y/TrianFlow

공식 코드

Towards Better Generalization: Joint Depth-Pose Learning without PoseNet

https://github.com/BCV-Uniandes/SIMBA

공식 코드

SIMBA: Specific Identity Markers for Bone Age Assessment

https://github.com/Banconxuan/RTM3D

공식 코드

RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving

https://github.com/BarqueroGerman/BeLFusion

공식 코드

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

https://github.com/BatFaceWayne/POV_Surgery

공식 코드

POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

https://github.com/Binyr/ASDA

공식 코드

Adversarial Semantic Data Augmentation for Human Pose Estimation

https://github.com/BoChenYS/BPnP

공식 코드

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization

https://github.com/BoChenYS/satellite-pose-estimation

공식 코드

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

https://github.com/BrianG13/FLEX

공식 코드

FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction

https://github.com/CAMERA-Bath/RGBD-Dog

공식 코드

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

https://github.com/CAMMA-public/ORPose-Depth

공식 코드

Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images

https://github.com/CAMMA-public/ORPose-color

공식 코드

Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation

https://github.com/CAMMA-public/mvor

공식 코드

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

https://github.com/CHUNYUWANG/imu-human-pose-pytorch

공식 코드

Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach

https://github.com/CIFASIS/StereoLoopDetector

공식 코드

Addressing the challenges of loop detection in agricultural environments

https://github.com/CMU-Perceptual-Computing-Lab/convolutional-pose-machines-release

공식 코드

Convolutional Pose Machines

https://github.com/CMU-Perceptual-Computing-Lab/openpose

공식 코드

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/CMU-Perceptual-Computing-Lab/openpose_train

공식 코드

Single-Network Whole-Body Pose Estimation

https://github.com/CS-GangXu/TMNet

공식 코드

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

https://github.com/CalciferZh/minimal-hand

공식 코드

Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data

https://github.com/CapsuleEndoscope/EndoSLAM

공식 코드

EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

https://github.com/Cen-Liu/Fast-CFEAR-Radar-Odometry

공식 코드

Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems

https://github.com/CesareDavidePace/poseidon

공식 코드

Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion

https://github.com/Chenfeng1271/L3A

공식 코드

Local Aggressive Adversarial Attacks on 3D Point Cloud

https://github.com/Chenyu-Wang567/All-Angles-Bench

공식 코드

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs

https://github.com/Chris10M/EventEgo3D

공식 코드

EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams

https://github.com/ChristianIngwersen/SportsPose

공식 코드

SportsPose -- A Dynamic 3D sports pose dataset

https://github.com/CongliangLi/LabelImg3D

공식 코드

Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision

https://github.com/CongliangLi/SMOPE-Net

공식 코드

Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision

https://github.com/Costwen/Ouroboros3D

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Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

https://github.com/DART2022/DART

공식 코드

DART: Articulated Hand Model with Diverse Accessories and Rich Textures

https://github.com/DC1991/FS-Net

공식 코드

FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism

https://github.com/DC1991/G2L_Net

공식 코드

G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features

https://github.com/DCVL-3D/PointHMR_release

공식 코드

Sampling is Matter: Point-guided 3D Human Mesh Reconstruction

https://github.com/DLR-RM/3DObjectTracking/tree/master/Mb-ICG

공식 코드

A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures

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