Bidirectional latent-space temporal alignment, used as a training regularizer, improves climate super-resolution accuracy over ClimaX, VRT, and SwinIR on CMIP6-to-ERA5 downscaling.
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Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment
Bidirectional latent-space temporal alignment, used as a training regularizer, improves climate super-resolution accuracy over ClimaX, VRT, and SwinIR on CMIP6-to-ERA5 downscaling.