Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN.
Qiucheng WuYifan JiangJunru WuKai WangGong ZhangHumphrey ShiZhangyang WangShiyu ChangPublished in: CoRR (2022)
Keyphrases
- low dimensional
- latent space
- high dimensional
- gaussian process latent variable models
- manifold learning
- low dimensional spaces
- dimensionality reduction
- dimension reduction
- principal component analysis
- decoding algorithm
- data points
- lower dimensional
- high dimensional data
- euclidean space
- feature space
- latent variables
- vision system
- graph embedding
- scale space
- sparse representation
- decoding process
- nonlinear dimensionality reduction
- vector space
- riemannian manifolds
- linear subspace
- gaussian process
- embedding space
- semi supervised
- human hand
- linear dimensionality reduction
- data sets