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README.md

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 This is an official PyTorch implementation of *Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation* (IROS 2022). In this paper, we present an automatic gesture generation model that uses a vector-quantized variational autoencoder structure as well as training techniques to learn a rigorous representation of gesture sequences. We then translate input text into a discrete sequence of associated gesture chunks in the learned gesture space. Subjective and objective evaluations confirm the success of our approach in terms of appropriateness, human-likeness, and diversity. We also introduce new objective metrics using the quantized gesture representation.
 
-### [Paper](https://sfumars.com/wp-content/papers/2022_iros_gesture2vec.pdf) | [Demo VIDEO](https://www.youtube.com/watch?v=ac8jWk4fdCU) | [Presentation](https://youtu.be/qFObMpOboCg)
+### [Paper](https://sfumars.com/wp-content/papers/2022_iros_gesture2vec.pdf) | [Demo Video](https://www.youtube.com/watch?v=ac8jWk4fdCU) | [Presentation](https://youtu.be/qFObMpOboCg)
 
 ![OVERVIEW](Figures/model.jpg)