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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://bitbucket.org/fafz/bayesian-icp

공식 코드

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent

https://bitbucket.org/fafz/stein-icp

공식 코드

Stein ICP for Uncertainty Estimation in Point Cloud Matching

https://github.com/1adrianb/binary-networks-pytorch

공식 코드

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

https://github.com/1adrianb/face-alignment

공식 코드

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/1adrianb/human-pose-estimation

공식 코드

Human pose estimation via Convolutional Part Heatmap Regression

https://github.com/25wangj/2dpnptoolbox

공식 코드

A PnP Algorithm for Two-Dimensional Pose Estimation

https://github.com/3dpose/3D-Multi-Person-Pose

공식 코드

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

https://github.com/3dpose/GnTCN

공식 코드

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

https://github.com/3dtopia/omni6d

공식 코드

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

https://github.com/3huo/Hand-Pointnet

공식 코드

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation

https://github.com/5k5000/cldetection2023

공식 코드

Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head

https://github.com/705062791/pgbig

공식 코드

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

https://github.com/AIChallenger/AI_Challenger

공식 코드

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

https://github.com/AIS-Bonn/HumanoidRobotPoseEstimation

공식 코드

Real-time Pose Estimation from Images for Multiple Humanoid Robots

https://github.com/AIS-Bonn/SmartEdgeSensor3DHumanPose

공식 코드

Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors

https://github.com/AIS-Bonn/stillleben

공식 코드

Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics

https://github.com/AIS-Bonn/synpick

공식 코드

SynPick: A Dataset for Dynamic Bin Picking Scene Understanding

https://github.com/AIprogrammer/AdvMix

공식 코드

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks

https://github.com/AVAuco/ddp

공식 코드

3D human pose estimation from depth maps using a deep combination of poses

https://github.com/ActiveVisionLab/LaLaLoc

공식 코드

LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments

https://github.com/ActiveVisionLab/NeFeS

공식 코드

Neural Refinement for Absolute Pose Regression with Feature Synthesis

https://github.com/ActiveVisionLab/nope-nerf

공식 코드

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

https://github.com/ActiveVisionLab/porf

공식 코드

PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction

https://github.com/Adamdad/hash3D

공식 코드

Hash3D: Training-free Acceleration for 3D Generation

https://github.com/African-Robotics-Unit/AcinoSet

공식 코드

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

https://github.com/AiuniAI/Unique3D

공식 코드

Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

https://github.com/AlanZhang1995/TwoStreamSR

공식 코드

Two-Stream Action Recognition-Oriented Video Super-Resolution

https://github.com/AlexTheBad/AP-10K

공식 코드

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

https://github.com/AliYoussef97/SuperPoint-PrP

공식 코드

NeRF-Supervised Feature Point Detection and Description

https://github.com/AlvinYH/Faster-VoxelPose

공식 코드

Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

https://github.com/Andyen512/DDHPose

공식 코드

Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser

https://github.com/Angtian/NeMo

공식 코드

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation

https://github.com/ArghyaPal/Zero-shot-task-transfer

공식 코드

Zero-Shot Task Transfer

https://github.com/Arthur151/DSD-SATN

공식 코드

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation

https://github.com/Arthur151/ROMP

공식 코드

Monocular, One-stage, Regression of Multiple 3D People

https://github.com/Ascend-Research/HeadPoseEstimation-WHENet

공식 코드

WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose

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