l2d (Learning to Dance)
Introduced by Ferreira et al. in Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio
This dataset is composed of paired videos of people dancing 3 different music styles: Ballet, Michael Jackson and Salsa. It contains multimodal data (visual data, temporal-graphs and audio) careful-selected from publicly available videos of dancers performing representative movements of the music style and audio data from the respective styles.
This dataset was used to train and evaluate methodologies for motion generation from audio.
We split the samples into training and evaluation sets.
The training set has 2352 samples of movements sequences with length 64. Which 525 are from Ballet style, 966 from Michael Jackson (MJ) and 861 from Salsa.
The evaluation set has 471 samples. 134 from Ballet, 102 from MJ and 235 from Salsa.
Papers
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