Tensor-based Subspace Factorization for StyleGAN.
René HaasStella GraßhofSami Sebastian BrandtPublished in: CoRR (2021)
Keyphrases
- subspace learning
- affine camera
- dimensionality reduction
- multibody
- principal component analysis
- linear subspace
- high order
- high dimensional data
- low dimensional
- matrix factorization
- subspace learning algorithm
- feature space
- lower dimensional
- singular value decomposition
- subspace clustering
- clustering high dimensional data
- kernel based nonlinear
- manifold learning
- high dimensional
- low rank
- pairwise
- kronecker product
- factorization methods
- data sets
- data points
- computer vision
- pattern recognition
- tensor factorization
- factorization method
- subspace methods
- principal components analysis
- semi supervised
- linear combination
- sparse representation
- sparse coding
- principal components