LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space.
Cao PuLu YangDongxv LiuZhiwei LiuWenguan WangShan LiQing SongPublished in: CoRR (2022)
Keyphrases
- prior knowledge
- latent space
- latent variables
- generative model
- gaussian process
- low dimensional
- feature space
- manifold learning
- dimensionality reduction
- gaussian processes
- high dimensional
- prior information
- matrix factorization
- distance metric
- parameter space
- transfer learning
- lower dimensional
- probabilistic latent semantic analysis
- data sets
- gaussian process latent variable models
- data analysis
- latent dirichlet allocation
- high dimensional data
- gaussian mixture
- graphical models
- probabilistic model
- image retrieval
- pattern recognition