Thesis: Deployable Text-to-Image Architecture with MWEs & Supersenses
Designing a deployable T2I stack that integrates Multiword Expressions (MWEs) and supersenses for richer prompts. Focus on data flow, components, and inference performance. Case study and repo summary coming soon.