NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata

arXiv:2404.06279v1 Announce Type: new
Abstract: Neural Cellular Automata (NCA) is a class of Cellular Automata where the update rule is parameterized by a neural network that can be trained using gradient descent. In this paper, we focus on NCA models used for texture synthesis, where the update rule is inspired by partial differential equations (PDEs) describing reaction-diffusion systems. To train the NCA model, the spatio-termporal domain is discretized, and Euler integration is used to numerically simulate the PDE. However, whether …

abstract arxiv cellular class continuity cs.ai cs.cv cs.gr cs.ma focus gradient network neural network paper seed synthesis temporal texture type update