SOTAVerified

3D Human Pose Estimation

3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.

Papers

Showing 551–600 of 665 papers

TitleStatusHype
Monocular 3D Human Pose Estimation by Generation and Ordinal RankingCode1
Can WiFi Estimate Person Pose?Code0
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation—0
Self-Supervised Learning of 3D Human Pose using Multi-view GeometryCode0
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose EstimationCode0
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
3D Human Pose Estimation from Deep Multi-View 2D Pose—0
View Invariant 3D Human Pose Estimation—0
3D Human Pose Machines with Self-supervised LearningCode0
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image—0
Learning 3D Human Dynamics from VideoCode0
Monocular Total Capture: Posing Face, Body, and Hands in the WildCode0
3D human pose estimation in video with temporal convolutions and semi-supervised trainingCode1
OriNet: A Fully Convolutional Network for 3D Human Pose EstimationCode0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge—0
Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning ApproachesCode0
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision—0
3D Human Pose Estimation with Siamese Equivariant EmbeddingCode0
An Integral Pose Regression System for the ECCV2018 PoseTrack ChallengeCode0
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose EstimationCode0
Exploiting temporal information for 3D human pose estimationCode0
Propagating LSTM: 3D Pose Estimation based on Joint Interdependency—0
How Robust is 3D Human Pose Estimation to Occlusion?Code0
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose EstimationCode0
Can 3D Pose be Learned from 2D Projections Alone?—0
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape EstimationCode0
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion CaptureCode0
Occluded Joints Recovery in 3D Human Pose Estimation based on Distance Matrix—0
3D human pose estimation from depth maps using a deep combination of posesCode0
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling—0
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information—0
3D-CODED : 3D Correspondences by Deep DeformationCode0
3D Human Pose Estimation with 2D Marginal HeatmapsCode0
DRPose3D: Depth Ranking in 3D Human Pose Estimation—0
3D Human Pose Estimation with Relational NetworksCode0
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data—0
QuaterNet: A Quaternion-based Recurrent Model for Human MotionCode0
Learning to Estimate 3D Human Pose and Shape from a Single Color Image—0
Ordinal Depth Supervision for 3D Human Pose EstimationCode0
3D Human Pose Estimation on a Configurable Bed from a Pressure Image—0
BodyNet: Volumetric Inference of 3D Human Body ShapesCode0
Unsupervised Geometry-Aware Representation for 3D Human Pose EstimationCode0
3D Human Pose Estimation in the Wild by Adversarial Learning—0
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations—0
Learning Monocular 3D Human Pose Estimation from Multi-view Images—0
3D Human Pose Estimation in RGBD Images for Robotic Task LearningCode0
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images—0
2D/3D Pose Estimation and Action Recognition using Multitask Deep LearningCode0
Image-based Synthesis for Deep 3D Human Pose Estimation—0
DensePose: Dense Human Pose Estimation In The WildCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157—Unverified
2HMRMPJPE130—Unverified
3BMPMPVPE119.3—Unverified
4SPINMPVPE116.4—Unverified
5Wenshuo et a;.MPVPE112.6—Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5—Unverified
7CHOMPMPVPE110.1—Unverified
8PC-HMRMPVPE108.6—Unverified
93DCrowdNetMPVPE108.5—Unverified
10SMPLifyPA-MPJPE106.8—Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7—Unverified
2HMRMPJPE124.2—Unverified
3Single-Shot Multi-PersonMPJPE122.2—Unverified
4MehtaMPJPE117.6—Unverified
5PONetMPJPE115—Unverified
6Pose Consensus (monocular)MPJPE112.1—Unverified
7GeoRep (fully-supervised)MPJPE110.8—Unverified
8XFormer (HRNet)MPJPE109.8—Unverified
9EpipolarPose (fully-supervised)MPJPE108.99—Unverified
10SPINMPJPE105.2—Unverified