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NSTM consists of two coordinate-based neural networks, one for the motion and one for the scene. Once the networks have been trained using the dataset of raw measurements, we can give the NSTM any time point as the input and it will generate the reconstruction at that time point. The network weights of NSTM are trained to match the forward model-rendered measurement with the actual raw measurement at each time point.

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