Latent Transformations for Object View Points Synthesis

12 Jul 2018 Sangpil Kim Nick Winovich Guang Lin Karthik Ramani

We propose a fully-convolutional conditional generative model, the latent transformation neural network (LTNN), capable of view synthesis using a light-weight neural network suited for real-time applications. In contrast to existing conditional generative models which incorporate conditioning information via concatenation, we introduce a dedicated network component, the conditional transformation unit (CTU), designed to learn the latent space transformations corresponding to specified target views... (read more)

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