AI RESEARCH
A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
arXiv CS.LG
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ArXi:2604.21903v1 Announce Type: new Deep-learning video super-resolution has progressed rapidly, but climate applications typically super-resolve (increase resolution) either space or time, and joint spatiotemporal models are often designed for a single pair of super-resolution (SR) factors (upscaling spatial and temporal ratio between the low-resolution sequence and the high-resolution sequence), limiting transfer across spatial resolutions and temporal cadences (frame rates