Comparative Study of Stable Diffusion-Based Super-Resolution Methods for Remote Sensing Imagery
Abstract. Remote sensing image super-resolution aims to recover fine structural and textural details from degraded low-resolution observations. However, conventional methods and early deep learning models often produce over-smoothed results and struggle to reconstruct realistic high-frequency content. Stable Diffusion-...