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SotA/Methodology/3D/Human3.6M

3D on Human3.6M

Metric: Number of Frames Per View (higher is better)

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#Model↕Number of Frames Per View▼AugmentationsPaperDate↕Code
1VideoPose3D (T=243)243No3D human pose estimation in video with temporal ...2018-11-28Code
2AdaptPose27NoAdaptPose: Cross-Dataset Adaptation for 3D Human...2021-12-22Code
3DAF-DG-27frames27NoA Dual-Augmentor Framework for Domain Generaliza...2024-03-17Code
4TriPose27NoTriPose: A Weakly-Supervised 3D Human Pose Estim...2021-05-14-
5DAF-DG1NoA Dual-Augmentor Framework for Domain Generaliza...2024-03-17Code
6PoseAug1NoPoseAug: A Differentiable Pose Augmentation Fram...2021-05-06Code
72D-3D Lifting self-supervised1NoSelf-Supervised 3D Human Pose Estimation with Mu...2021-08-17Code
8Li et al.1No--Code
9CanonPose1NoCanonPose: Self-Supervised Monocular 3D Human Po...2020-11-30Code
10Tome et al.1NoLifting from the Deep: Convolutional 3D Pose Est...2017-01-01Code
11RepNet1NoRepNet: Weakly Supervised Training of an Adversa...2019-02-26Code
12Kocabas et al.1NoSelf-Supervised Learning of 3D Human Pose using ...2019-03-06Code
13PoseAug1NoPoseAug: A Differentiable Pose Augmentation Fram...2021-05-06Code