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—We developed a technology for creating homologous models of foot shape data obtained from a 4D measurement system. Homologous models consist of the same number of the same topology, and each data point in the model is defined based on the anatomical homology. In the present modeling technology, we use a homologous model using a polyhedral template. By(More)
In this paper we propose a generative model, the Temporal Generative Adversarial Network (TGAN), which can learn a semantic representation of unlabelled videos, and is capable of generating consistent videos. Unlike an existing GAN that generates videos with a generator consisting of 3D deconvolutional layers, our model exploits two types of generators: a(More)
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