Synthesis of Abstract Dynamic Quasiperiodic 3D Forms using SIRENs

This paper explores using SIRENs, neural networks with periodic activation functions, as a means for synthesising abstract three-dimensional dynamic forms. A SIREN is used to generate a field function for an implicit surface, with inputs for 3D position and time. A wide range of complex quasiperiodic forms can be created, with synthesis and rendering being achievable at interactive rates using modern graphics hardware.