functions that yield fairly good results—sufficient that a generated image visually appears random. 1D, 2D, and 3D versions are included, again referring to the number of inputs to generate a ...

To that end, they train a generative model for 3D shapes such that rendering the shapes generates images matching the distribution of a 2D data set. The generator model takes in a random input ...

Figure 1: Unlocking of the 2D vortex lattice on a linear potential. In Fig. 2a we show a sequence of vortex lattice images between ... Figure 3: Correlation functions and critical exponents.

Researchers propose a True Random Number Generation (TRNG) using dark pixel values of images received from the CMOS image sensor to provide unpredictability to the passwords. “Random Number Generators ...