We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space.
Rishubh PariharRaghav MagazinePiyush TiwariR. Venkatesh BabuPublished in: CoRR (2023)
Keyphrases
- latent space
- low dimensional
- lower dimensional
- gaussian process latent variable models
- dimensionality reduction
- high dimensional
- feature space
- latent variables
- high dimensional data
- principal component analysis
- image sequences
- parameter space
- motion capture
- manifold learning
- gaussian process
- generative model
- random projections
- dimension reduction
- higher dimensional
- pattern recognition
- multibody
- body pose
- human motion
- gaussian processes
- position and orientation
- data sets
- probabilistic model
- visual features