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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/ayeshathanawalla/DeepLabCut

ArtTrack: Articulated Multi-person Tracking in the Wild

https://github.com/ayoolaolafenwa/PixelLib

https://github.com/azad96/cosypose-custom

CosyPose: Consistent multi-view multi-object 6D pose estimation

https://github.com/azizanlab/unlimitd

What Matters For Meta-Learning Vision Regression Tasks?

https://github.com/baizhenmao95/2019-ZTE-Algorithm-Competition

DAC: Data-free Automatic Acceleration of Convolutional Networks

https://github.com/balala8/FastViT_pytorch

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

https://github.com/baodi23/hourglass-facekeypoints-detection

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/baoshengyu/deep-high-resolution-net.pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/bastianwandt/RepNet

RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

https://github.com/bastianwandt/elepose

ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses

https://github.com/bayuudachi/Real-esr-gan

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

https://github.com/bazilas/matconvnet-deepReg

Robust Optimization for Deep Regression

https://github.com/bearpaw/pose-attention

Multi-Context Attention for Human Pose Estimation

https://github.com/bearpaw/pytorch-pose

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/beassssry/U

https://github.com/behnoudshafizadeh/ESPCN-SuperResolution-Tensorflow

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/benjs/hourglass_networks

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/bespontaneous/ffn

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

https://github.com/bespontaneous/mca-pytorch

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

https://github.com/bethgelab/siamese-mask-rcnn

https://github.com/bharat-b7/IPNet

Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

https://github.com/bharat-b7/MultiGarmentNetwork

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/blake58/openpose

Convolutional Pose Machines

https://github.com/blueardour/AdelaiDet

DirectPose: Direct End-to-End Multi-Person Pose Estimation

https://github.com/bluedream1121/Key.Net_PyTorch

Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

https://github.com/bmartacho/BAPose

BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations

https://github.com/bnestor/second-hand-rl

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/bo-zhang-cs/CACNet-Pytorch

A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

https://github.com/boom85423/Cartoon-style-Stickers-Generator

https://github.com/bordac6/PNNPPV_project

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/boreshkinai/smpl-ik

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows

https://github.com/borglab/gtsfm

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/boschresearch/numerics_independent_neural_odes

Neural Ordinary Differential Equations

https://github.com/boukhayma/3dhand

3D Hand Shape and Pose from Images in the Wild

https://github.com/bouracha/Gen_Motion

Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/bouracha/OoDMotion

Learning Trajectory Dependencies for Human Motion Prediction

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