This repository represents an early-stage research placeholder for exploring AI-native garment pattern intelligence in modern apparel manufacturing.
Our long-term goal is to investigate how 3D garment geometry, textile behavior, and production constraints may be jointly modeled to support manufacturable 2D pattern generation.
In contemporary apparel workflows, critical knowledge is fragmented across:
- 3D garment representation and visualization,
- textile physical behavior and finishing effects,
- pattern construction logic and brand-specific conventions.
While each domain has been studied independently, there is no unified framework that connects these components in a production-aware and material-aware manner.
This repository serves as a conceptual anchor for that research direction.
The scope of this work may involve, but is not limited to, the following high-level questions:
- How garment geometry can be abstracted without overfitting local folds or scan artefacts.
- How textile physical properties influence pattern structure and manufacturability.
- How brand- and region-specific pattern conventions can be represented as learnable priors.
- How 3D-to-2D transformations can remain stable across materials and production processes.
These topics are intentionally described at a conceptual level.
This repository is a research placeholder.
- No implementation code is released.
- No datasets or models are included.
- Core algorithms, system designs, and experimental pipelines are maintained in private research environments.
This repository does not represent a complete or finalized solution, nor does it disclose implementation pathways.
- Research framing and system architecture are under active development.
- Technical implementations will be disclosed selectively in alignment with patent filings, partnerships, or academic publications.
For research collaboration or industry inquiry, please contact the Lanfinitas team directly.