Infection Falloff

The Infection Falloff 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.

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.

Multiple Seed Fields: Seeds can be specified via the Seed POP parameter or Input 1, where each point defines a separate seed field - one point per seed. The attributes of the seed POP are named the same as parameter tokens in the Infection Falloff operator, and override the parameters for each seed. You need only to create a Point POP with attributes named as the Infection Falloff parameters, and then add a point per seed, and set their values. (An attribute P will override the Position parameter, and an attribute radius will override the Radius parameter.) Alternately you can generate points procedurally with attributes that match the Infection Falloff parameter names.

Optional transition ranges provide smooth seed boundaries, and the result can be combined with existing falloff attributes, previewed with color ramps, and optionally enhanced with procedural noise.