3D Pose Estimation

128 papers with code • 6 benchmarks • 29 datasets

Libraries

Use these libraries to find 3D Pose Estimation models and implementations
2 papers
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Most implemented papers

A simple yet effective baseline for 3d human pose estimation

una-dinosauria/3d-pose-baseline ICCV 2017

Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations given raw image pixels.

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

DenisTome/Lifting-from-the-Deep-release CVPR 2017

We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.

BlazePose: On-device Real-time Body Pose tracking

google/mediapipe 17 Jun 2020

We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch 9 Dec 2017

Our approach uses novel occlusion-robust pose-maps (ORPM) which enable full body pose inference even under strong partial occlusions by other people and objects in the scene.

Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

zju3dv/EasyMocap CVPR 2019

This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views.

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

eldar/differentiable-point-clouds NeurIPS 2018

We address the problem of learning accurate 3D shape and camera pose from a collection of unlabeled category-specific images.

Integral Human Pose Regression

JimmySuen/integral-human-pose ECCV 2018

State-of-the-art human pose estimation methods are based on heat map representation.

2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning

dluvizon/deephar CVPR 2018

Action recognition and human pose estimation are closely related but both problems are generally handled as distinct tasks in the literature.

Face Alignment in Full Pose Range: A 3D Total Solution

cleardusk/3DDFA 2 Apr 2018

In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded Convolutional Neural Networks.