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DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks
  for Human Motion Prediction

DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction

20 December 2021
Zigeng Yan
Dihua Zhai
Yuanqing Xia
    3DHAI4CE
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction"

4 / 4 papers shown
Title
Learning Semantic Latent Directions for Accurate and Controllable Human
  Motion Prediction
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
Guowei Xu
Jiale Tao
Wen Li
Lixin Duan
162
8
0
16 Jul 2024
Context-based Interpretable Spatio-Temporal Graph Convolutional Network
  for Human Motion Forecasting
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
Edgar Medina
Leyong Loh
Namrata Gurung
Kyung Hun Oh
Niels Heller
3DH
158
13
0
21 Feb 2024
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal
  Anchors
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal AnchorsEuropean Conference on Computer Vision (ECCV), 2023
Sirui Xu
Yu-Xiong Wang
Liangyan Gui
193
56
0
09 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
HumanMAC: Masked Motion Completion for Human Motion PredictionIEEE International Conference on Computer Vision (ICCV), 2023
Ling-Hao Chen
Jiawei Zhang
Ye-rong Li
Yiren Pang
Xiaobo Xia
Tongliang Liu
DiffMVGen
237
94
0
07 Feb 2023
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