# 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.

# Greatest papers with code

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

72,032

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

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.

65,338

# DensePose: Dense Human Pose Estimation In The Wild

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.

24,816

# Non-local Neural Networks

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)

24,816

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

18 Dec 2018

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

22,647

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

We present an approach to efficiently detect the 2D pose of multiple people in an image.

22,647

# Convolutional Pose Machines

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.

22,647

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

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.

20,569

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

23 Oct 2020

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

20,569

# An Analysis of SVD for Deep Rotation Estimation

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

20,569