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Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions
[article]
2012
arXiv
pre-print
We apply the spike-and-slab Restricted Boltzmann Machine (ssRBM) to texture modeling. The ssRBM with tiled-convolution weight sharing (TssRBM) achieves or surpasses the state-of-the-art on texture synthesis and inpainting by parametric models. We also develop a novel RBM model with a spike-and-slab visible layer and binary variables in the hidden layer. This model is designed to be stacked on top of the TssRBM. We show the resulting deep belief network (DBN) is a powerful generative model that
arXiv:1211.5687v1
fatcat:bszpohc2cjc7rjk5kl2xoayh4u