Generating In-Between Images Through Learned Latent Space Representation Using Variational Autoencoders.
Paulino CristovaoHidemoto NakadaYusuke TanimuraHideki AsohPublished in: IEEE Access (2020)
Keyphrases
- latent space
- image classification
- input image
- low dimensional
- image retrieval
- gaussian process
- latent variables
- image features
- dimensionality reduction
- lower dimensional
- pattern recognition
- manifold learning
- gaussian processes
- matrix factorization
- parameter space
- generative model
- feature points
- denoising
- probabilistic latent semantic analysis
- feature space
- object recognition
- position and orientation
- image segmentation
- distance metric
- model selection
- machine learning
- similarity measure
- support vector
- high dimensional