Scalar Spatiotemporal Blue Noise Masks

Fig. 1. All images rendered using an exponential moving average (EMA) with α = 0.1. On the left is an image of the Disney Cloud [2020] rendered using stochastic single scattering, where free-flight distances are sampled using a series of blue noise masks over time. Traditional 2D blue noise masks (far left) are easy to filter spatially, but exhibit a white noise signal over time, making the underlying signal difficult to filter temporally. Our spatiotemporal blue noise (STBN) masks (right of large image) additionally exhibit blue noise in the temporal dimension, resulting in a signal that is easier to filter over time. On the far right, we show two crops of the main image, as well as their corresponding discrete Fourier transforms over both space (DFT(XY)) and time (DFT(ZY)). The Z axis is time. The ground truth is shown in the insets in the large image (upper and lower right corners).

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