mlsanityData to 7 Oct 2026

3D Pose Estimation and Future Motion Prediction from 2D Images

arXiv 2111.13285 ↗First posted 26 Nov 2021cs.CV cs.AIcited by 8

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Abstract (arXiv)

This paper considers to jointly tackle the highly correlated tasks of estimating 3D human body poses and predicting future 3D motions from RGB image sequences. Based on Lie algebra pose representation, a novel self-projection mechanism is proposed that naturally preserves human motion kinematics. This is further facilitated by a sequence-to-sequence multi-task architecture based on an encoder-decoder topology, which enables us to tap into the common ground shared by both tasks. Finally, a global refinement module is proposed to boost the performance of our framework. The effectiveness of our approach, called PoseMoNet, is demonstrated by ablation tests and empirical evaluations on Human3.6M and HumanEva-I benchmark, where competitive performance is obtained comparing to the state-of-the-arts.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 26 of its 49 references that are in the map. First posted on arXiv 26 Nov 2021.

Builds on

26 of 49 references.

References · 26

  1. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
  2. 2019VIBE: Video Inference for Human Body Pose and Shape Estimationcited by 615
  3. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  4. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 401
  5. 2017On human motion prediction using recurrent neural networkscited by 336
  6. 2018Learning 3D Human Dynamics from Videocited by 315
  7. 2019Learning Trajectory Dependencies for Human Motion Predictioncited by 245
  8. 2015Structural-RNN: Deep Learning on Spatio-Temporal Graphscited by 234
  9. 2019Semantic Graph Convolutional Networks for 3D Human Pose Regressioncited by 204
  10. 2020History Repeats Itself: Human Motion Prediction via Motion Attentioncited by 164
  11. 20163D Human Pose Estimation = 2D Pose Estimation + Matchingcited by 112
  12. 20182D/3D Pose Estimation and Action Recognition using Multitask Deep Learningcited by 103
14 more
  1. 2017Exploiting temporal information for 3D pose estimationcited by 89
  2. 20183D Human Pose Estimation in the Wild by Adversarial Learningcited by 86
  3. 2017Learning Human Motion Models for Long-term Predictionscited by 67
  4. 20203D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Trainingcited by 54
  5. 2019Predicting 3D Human Dynamics from Videocited by 51
  6. 2017Joint Multi-Person Pose Estimation and Semantic Part Segmentationcited by 41
  7. 2018Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamiccited by 41
  8. 2021Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognitioncited by 39
  9. 2018Learning to Forecast and Refine Residual Motion for Image-to-Video Generationcited by 27
  10. 2014Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relationscited by 24
  11. 2016Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groupscited by 10
  12. 2020Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decompositioncited by 10
  13. 2016A Recurrent Encoder-Decoder Network for Sequential Face Alignmentcited by 9
  14. 2021An Adversarial Human Pose Estimation Network Injected with Graph Structurecited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 1; 2025: 2; 2026: 1.

8 papers.