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Pose Estimation

214 papers with code · Computer Vision

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

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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.

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.

INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION VIDEO CLASSIFICATION

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

RMPE: Regional Multi-person Pose Estimation

ICCV 2017 MVIG-SJTU/AlphaPose

In this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.

HUMAN DETECTION MULTI-PERSON POSE ESTIMATION

Deep High-Resolution Representation Learning for Visual Recognition

20 Aug 2019CSAILVision/semantic-segmentation-pytorch

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.

 SOTA for Semantic Segmentation on Cityscapes test (using extra training data)

OBJECT DETECTION POSE ESTIMATION REPRESENTATION LEARNING SEMANTIC SEGMENTATION