Pose Estimation

685 papers with code • 18 benchmarks • 77 datasets

Pose Estimation is a general problem in Computer Vision where we detect the position and orientation of an object.

( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )

Greatest papers with code

Mask R-CNN

tensorflow/models ICCV 2017

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

3D Instance Segmentation Human Part Segmentation +7

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning

tensorflow/models NeurIPS 2018

We demonstrate this framework on 3D pose estimation by proposing a differentiable objective that seeks the optimal set of keypoints for recovering the relative pose between two views of an object.

3D Pose Estimation

DensePose: Dense Human Pose Estimation In The Wild

facebookresearch/detectron CVPR 2018

In this work, we establish dense correspondences between RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation.

Pose Estimation

Non-local Neural Networks

facebookresearch/detectron CVPR 2018

Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time.

Ranked #7 on Action Classification on Toyota Smarthome dataset (using extra training data)

Action Classification Action Recognition +3

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

CMU-Perceptual-Computing-Lab/openpose 18 Dec 2018

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Keypoint Detection

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

google-research/google-research 10 Jun 2021

Single image pose estimation is a fundamental problem in many vision and robotics tasks, and existing deep learning approaches suffer by not completely modeling and handling: i) uncertainty about the predictions, and ii) symmetric objects with multiple (sometimes infinite) correct poses.

3D Pose Estimation 3D Rotation Estimation

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

google-research/google-research 23 Oct 2020

Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people.

3D Pose Estimation Action Recognition +1

An Analysis of SVD for Deep Rotation Estimation

google-research/google-research NeurIPS 2020

Symmetric orthogonalization via SVD, and closely related procedures, are well-known techniques for projecting matrices onto $O(n)$ or $SO(n)$.

3D Pose Estimation 3D Rotation Estimation