1. generating animated videos of human activities from natural language descriptions
Learning(2018)
Abstract
Generating realistic character animations is of great importance in computer graphics and related domains. Existing approaches for this application involve a significant amount of human interaction. In this paper, we introduce a system that maps a natural language description to an animation of a humanoid skeleton. Our system is a sequence-to-sequence model that is pretrained with an autoencoder objective and then trained end-to-end.
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