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SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space

arXiv 2206.01867 ↗First posted 4 Jun 2022cs.CVcited by 0

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Abstract (arXiv)

We propose a method SPGNet for 3D human pose estimation that mixes multi-dimensional re-projection into supervised learning. In this method, the 2D-to-3D-lifting network predicts the global position and coordinates of the 3D human pose. Then, we re-project the estimated 3D pose back to the 2D key points along with spatial adjustments. The loss functions compare the estimated 3D pose with the 3D pose ground truth, and re-projected 2D pose with the input 2D pose. In addition, we propose a kinematic constraint to restrict the predicted target with constant human bone length. Based on the estimation results for the dataset Human3.6M, our approach outperforms many state-of-the-art methods both qualitatively and quantitatively.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 30 references that are in the map. First posted on arXiv 4 Jun 2022.

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References · 21

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
  4. 2017End-to-end Recovery of Human Shape and Posecited by 883
  5. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  6. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 401
  7. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  8. 2016Convolutional Pose Machinescited by 325
  9. 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
  10. 2017Integral Human Pose Regressioncited by 255
  11. 2014Efficient Object Localization Using Convolutional Networkscited by 226
  12. 2016Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Posecited by 220
9 more
  1. 2017Unite the People: Closing the Loop Between 3D and 2D Human Representationscited by 205
  2. 2017Fine-Grained Head Pose Estimation Without Keypointscited by 163
  3. 2017Compositional Human Pose Regressioncited by 124
  4. 20163D Human Pose Estimation = 2D Pose Estimation + Matchingcited by 112
  5. 2018Ordinal Depth Supervision for 3D Human Pose Estimationcited by 107
  6. 2019Self-Supervised Learning of 3D Human Pose using Multi-view Geometrycited by 98
  7. 20183D Human Pose Estimation in the Wild by Adversarial Learningcited by 86
  8. 2018Can 3D Pose be Learned from 2D Projections Alone?cited by 44
  9. 2021PONet: Robust 3D Human Pose Estimation via Learning Orientations Onlycited by 2

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