Deep Learning Super Resolution for Satellite Cloud Mask Downscaling

arXiv:2608.24715 · cs.CV, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Code: https://github.com/pytorch/pytorch

Terminology

Adam — 2× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Consistency — 2× in this paper · explained in 3 episodes
Convolutional Neural Network — 2× in this paper
Fidelity — 2× in this paper · explained in 2 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Activation Function — 1× in this paper · explained in 1 episode
Adversarial Training — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Composite Loss Function — 1× in this paper · explained in 2 episodes
Data Fusion — 1× in this paper · explained in 3 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Distillation — 1× in this paper · explained in 2 episodes
Mean Squared Error — 1× in this paper
Meteosat Second Generation — 1× in this paper
Peak Signal-to-Noise Ratio — 1× in this paper
Reconstruction Error — 1× in this paper · explained in 2 episodes
Trace — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes
alpha — 1× in this paper · explained in 1 episode

Sources

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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