Infection Falloff
Summary
The Infection Falloff operator creates dynamic, simulation-based falloff patterns by propagating values across geometry using infection-style spreading algorithms. Starting from seed points or regions, the infection spreads to neighboring points based on proximity or connectivity, creating organic growth patterns.
This operator supports both radius-based and connectivity-based infection methods, with control over infection rate, dissipation, resistance, and reinfection behavior. Distance-weighted spreading creates natural falloff gradients, while the simulation can be played, stepped, or controlled manually for precise timing.
Seed selection can be defined through spatial fields (sphere, box), specific POP inputs, or existing attributes, with optional transition ranges for smooth seed boundaries. The result can be combined with existing falloff attributes, previewed with color ramps, and optionally enhanced with procedural noise.