A reusable architecture for joint spatiotemporal super-resolution of precipitation that adapts to scaling factors from 1-25 in space and 1-6 in time via hyperparameter retuning and optional mass conservation.
Video super-resolution based on deep learning: a comprehensive survey.Artificial Intelligence Review, 55(8):5981–6035, Dec 2022
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A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
A reusable architecture for joint spatiotemporal super-resolution of precipitation that adapts to scaling factors from 1-25 in space and 1-6 in time via hyperparameter retuning and optional mass conservation.