About

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 )

Benchmarks

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Subtasks

Datasets

Greatest papers with code

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

NeurIPS 2018 tensorflow/models

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

Learning from Simulated and Unsupervised Images through Adversarial Training

CVPR 2017 tensorflow/models

With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations.

DOMAIN ADAPTATION GAZE ESTIMATION HAND POSE ESTIMATION IMAGE-TO-IMAGE TRANSLATION

DensePose: Dense Human Pose Estimation In The Wild

CVPR 2018 facebookresearch/detectron

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

CVPR 2018 facebookresearch/detectron

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

Ranked #8 on Keypoint Detection on COCO (Validation AP metric)

ACTION CLASSIFICATION ACTION RECOGNITION INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION

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

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

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

KEYPOINT DETECTION

Convolutional Pose Machines

CVPR 2016 CMU-Perceptual-Computing-Lab/openpose

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

3D HUMAN POSE ESTIMATION STRUCTURED PREDICTION

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

23 Oct 2020google-research/google-research

We further show that keypoint occlusion augmentation during training significantly improves retrieval performance on partial 2D input poses.

3D POSE ESTIMATION ACTION RECOGNITION VIDEO ALIGNMENT

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

CVPR 2020 google-research/google-research

We address two problems: first, we establish an easy method for capturing and labeling 3D keypoints on desktop objects with an RGB camera; and second, we develop a deep neural network, called $KeyPose$, that learns to accurately predict object poses using 3D keypoints, from stereo input, and works even for transparent objects.

3D POSE ESTIMATION MOTION CAPTURE