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Author

Jorge Guevara

2 papers indexed here

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Preprint Aug 2026

Precipitation Downscaling Using Foundation Model-Conditioned Diffusion

High-resolution precipitation fields are essential for hydrological impact assessment, yet global climate model outputs are too coarse and biased for direct use. AI-based statistical downscaling with diffusion models offers a promising approach, but the mechanism by which large-scale atmospheric predictors condition ge...

Victor Nascimento Ribeiro, Jorge Guevara, J. Moraga et al. · 0 citations
Open access 2026

Frequency-Conditioned GAN for Remote Sensing Image Super-Resolution

Remote sensing image super-resolution aims to recover fine spatial details lost during image acquisition, yet most existing deep learning methods often struggle to faithfully reconstruct high-frequency details and maintain spectral fidelity. To address these limitations, we build FC-GAN, a frequency-conditioned model t...

Victor Nascimento Ribeiro, Jorge Guevara, D. Szwarcman et al. · 0 citations

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