3D Pose Estimation

105 papers with code • 6 benchmarks • 23 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.

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.

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

mks0601/V2V-PoseNet_RELEASE CVPR 2018

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

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.