Language2Pose: Natural Language Grounded Pose Forecasting

@article{Ahuja2019Language2PoseNL,
  title={Language2Pose: Natural Language Grounded Pose Forecasting},
  author={Chaitanya Ahuja and Louis-Philippe Morency},
  journal={2019 International Conference on 3D Vision (3DV)},
  year={2019},
  pages={719-728}
}
  • Chaitanya Ahuja, Louis-Philippe Morency
  • Published 2019
  • Computer Science
  • 2019 International Conference on 3D Vision (3DV)
  • Generating animations from natural language sentences finds its applications in a a number of domains such as movie script visualization, virtual human animation and, robot motion planning. [...] Key Method This joint embedding space is learned end-to-end using a curriculum learning approach which emphasizes shorter and easier sequences first before moving to longer and harder ones. We evaluate our proposed model on a publicly available corpus of 3D pose data and human-annotated sentences. Both objective…Expand Abstract

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