mxgmn/WaveFunctionCollapse

Features

• Constraint-Based Synthesis Engines - Solving complex spatial arrangement problems by ensuring every element placed in a grid satisfies specific adjacency requirements with its neighbors.
• Procedural Content Generation - Creates complex, non-repeating game levels or textures automatically by following logical rules.
• Procedural Generation - Generates diverse and coherent game environments that maintain structural integrity.
• Probabilistic Solvers - A probabilistic algorithm that derives output structures from input examples by treating generation as a constraint satisfaction problem with local dependencies.
• Entropy-Based Solvers - The algorithm selects the cell with the fewest remaining possibilities and forces a choice to trigger a cascade of logical updates.
• Example-Based Synthesis - Creates complex visual patterns by iteratively collapsing grids based on adjacency constraints from input examples.
• Machine Learning and Data Science - Procedural generation algorithm based on quantum mechanics.
• Tiling Systems - A grid-based layout tool that constructs coherent two-dimensional arrangements by matching edge constraints between a predefined set of modular tiles.
• Constraint Propagation Engines - The system maintains a grid of possible states and iteratively prunes invalid options by propagating local adjacency rules across the entire field.
• Tiled Pattern Generators - Constructs two-dimensional grid patterns by placing tiles according to local adjacency rules.
• Texture Management Systems - Produces large, seamless, and visually consistent patterns by replicating local pixel relationships.
• Backtracking Algorithms - The solver explores potential configurations by reverting to previous states whenever a local choice leads to a logical contradiction or dead end.
• Constraint Satisfaction Solvers - Decomposes input data into local constraints that dictate valid side-by-side tile placements.

Star history