computer-vision-7

3D Pose Estimation

3260 papers • 126 benchmarks • 313 datasets

Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision , ECCV'20

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in 3d-pose-estimation-7

Trend

Dataset

Best Model

Actions

Human3.6M

Google-AR

Google-Yoga

Libraries

i

Use these libraries to find 3d-pose-estimation-7 models and implementations

open-mmlab/mmpose

3 papers 5,657

Datasets

LSP

Subtasks

No subtasks available.

Most implemented papers

Deep High-Resolution Representation Learning for Human Pose Estimation

Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang•Sun Feb 24 2019

This paper proposes a network that maintains high-resolution representations through the whole process of human pose estimation and empirically demonstrates the effectiveness of the network through the superior pose estimation results over two benchmark datasets: the COCO keypoint detection dataset and the MPII Human Pose dataset.

4672

Content

K2HPD

CarFusion

ApolloCar3D

HARPER

CAMMA-public/mvor

2 papers 53

MuCo-3DHP

0

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

Chris Russell, L. Agapito, Denis Tomè•Sat Dec 31 2016

An integrated approach is taken that fuses probabilistic knowledge of 3D human pose with a multi-stage CNN architecture and uses the knowledge of plausible 3D landmark locations to refine the search for better 2D locations.

529 0

Paper Graph

BlazePose: On-device Real-time Body Pose tracking

Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Lixuan Zhu, Fan Zhang, Matthias Grundmann•Tue Jun 16 2020

BlazePose is presented, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices that uses both heatmaps and regression to keypoint coordinates.

735 0

Paper Graph

A Simple Yet Effective Baseline for 3d Human Pose Estimation

J. Little, Julieta Martinez, J. Romero, Rayat Hossain•Sun May 07 2017

The results indicate that a large portion of the error of modern deep 3d pose estimation systems stems from their visual analysis, and suggests directions to further advance the state of the art in 3d human pose estimation.

1446 0

Paper Graph

Single-Shot Multi-person 3D Pose Estimation from Monocular RGB

C. Theobalt, Gerard Pons-Moll, Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar•Fri Dec 08 2017

This work proposes a new single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera which 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.

434 0

Paper Graph

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

Weihua Hu, Kevin Tran, Zachary W. Ulissi, Anuroop Sriram, C. L. Zitnick, Devi Parikh, Thibaut Lavril, Abhishek Das, M. Rivière, Siddharth Goyal, Lowik Chanussot, Muhammed Shuaibi, Javier Heras-Domingo, Caleb Ho, Aini Palizhati, Brandon Wood, Junwoong Yoon•Mon Oct 19 2020

The OC20 dataset is developed, consisting of 1,281,121 Density Functional Theory relaxations across a wide swath of materials, surfaces, and adsorbates, and three state-of-the-art graph neural network models were applied to each of these tasks as baseline demonstrations for the community to build on.

677 0

Paper Graph

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

Qi-Xing Huang, H. Bao, Junting Dong, Xiaowei Zhou, W. Jiang•Sun Jan 13 2019

This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views by using a multi-way matching algorithm to cluster the detected 2D poses in all views and proposes to combine geometric and appearance cues for cross-view matching.

209 0

Paper Graph

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

Alexey Dosovitskiy, Eldar Insafutdinov•Sun Oct 21 2018

This work trains a convolutional network to predict both the shape and the pose from a single image by minimizing the reprojection error, and introduces an ensemble of pose predictors which are distill to a single "student" model.

258 0

Paper Graph

VIBE: Video Inference for Human Body Pose and Shape Estimation

Michael J. Black, Nikos Athanasiou, Muhammed Kocabas•Tue Dec 10 2019

This work defines a novel temporal network architecture with a self-attention mechanism and shows that adversarial training, at the sequence level, produces kinematically plausible motion sequences without in-the-wild ground-truth 3D labels.

1070 0

Paper Graph

Integral Human Pose Regression

Bin Xiao, Xiao Sun, Yichen Wei, Shuang Liang•Tue Nov 21 2017

This work shows that a simple integral operation relates and unifies the heat map representation and joint regression, thus avoiding the above issues and is differentiable, efficient, and compatible with any heat map based methods.

896 0

Paper Graph

Adding a benchmark result helps the community track progress.