3D Software Synthesis Driven by Constraint-Expressive Intermediate Representation

Scenethesis is implemented as a modular Python framework with pluggable components for each pipeline stage.

The modular architecture of Scenethesis supports extensive customization for domain-specific applications. The ScenethesisLang grammar can be extended with domain-specific predicates and constraints (e.g., accessibility requirements for architectural design, safety constraints for industrial simulations). New constraint types are automatically integrated into the solving process without requiring modifications to the core algorithm. (1) The asset synthesis module supports pluggable synthesis strategies, allowing users to integrate custom model databases, proprietary generation systems, or specialized asset processing pipelines. The unified query interface ensures that new acquisition methods seamlessly integrate with existing functionality. (2) Custom constraint solvers can be developed for specialized domains that require alternative solving strategies. For example, physics-based simulation domains might benefit from continuous optimization solvers, while discrete placement problems might prefer constraint programming approaches. (3) The output generation stage supports multiple export formats and can be extended with custom drivers for specific game engines or simulation platforms. This flexibility ensures that Scenethesis can adapt to evolving toolchain requirements without architectural changes. Through these design principles and implementation strategies, Scenethesis provides a robust, scalable, and extensible foundation for constraint-sensitive 3D scene synthesis that addresses the unique requirements of SE applications while maintaining the flexibility needed for diverse use cases.