Efficient Geometry-Controlled High-Resolution Satellite Image Synthesis

Vlad Vasilescu; Daniela Faur; Teodor Costachioiu

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arXiv · 2605.04557

Efficient Geometry-Controlled High-Resolution Satellite Image Synthesis

Vlad Vasilescu·Daniela Faur·Teodor Costachioiu

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Abstract

High-resolution satellite images are often scarce and costly, especially for remote areas or infrequent events. This shortage hampers the development and testing of machine learning models for land-cover classification, change detection, and disaster monitoring. In this paper, we tackle the problem of geometry-controlled high-resolution satellite image synthesis by adding control over existing pre-trained diffusion models. We propose a simple yet efficient method for controlling the synthesis process by leveraging only skip connection features using windowed cross-attention modules. Several previously established control techniques are compared, indicating that our method achieves comparable performance while leading to a better alignment with the geometry control map. We also discuss the limitations in current evaluation approaches, amplifying the necessity of a consistent alignment assessment.

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Vlad Vasilescu, Daniela Faur, Teodor Costachioiu. 2026-05-13. Efficient Geometry-Controlled High-Resolution Satellite Image Synthesis. https://arxiv.org/abs/2605.04557

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