WaveFunctionCollapse is a procedural generation engine that creates complex, non-repeating patterns by treating spatial arrangement as a constraint satisfaction problem. It functions as a stochastic solver that derives output structures from a single input example, ensuring that every element placed within a grid satisfies specific adjacency requirements relative to its neighbors.
The system distinguishes itself by using an entropy-driven approach to grid collapse, where it iteratively selects the cell with the fewest remaining possibilities to trigger a cascade of logical updates. By decomposing input data into local adjacency rules, the engine can synthesize coherent textures or construct structured game environments that maintain visual and logical consistency. When the algorithm encounters a contradiction, it employs a backtracking search mechanism to revert to previous states and explore alternative configurations.
This tool supports both pixel-based texture synthesis and modular tile-based layout generation. It manages the state of the grid through continuous propagation of constraints, ensuring that all generated content adheres to the patterns observed in the source sample.
