Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs.
Jaewoong ChoiJunho LeeChangyeon YoonJung Ho ParkGeonho HwangMyungjoo KangPublished in: ICLR (2022)
Keyphrases
- latent space
- low dimensional
- manifold structure
- manifold learning
- lower dimensional
- latent variables
- parameter space
- high dimensional
- dimensionality reduction
- gaussian process
- gaussian process latent variable models
- generative model
- gaussian processes
- feature space
- matrix factorization
- high dimensional data
- nonlinear dimensionality reduction
- gaussian mixture
- probabilistic latent semantic analysis
- distance metric
- principal component analysis
- body pose
- transfer learning
- pattern recognition
- high dimensional spaces
- higher dimensional
- co occurrence
- semi supervised
- probability distribution
- random variables
- probability density function
- original data