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eess.IV2024
Federated Learning for Blind Image Super-Resolution
Brian B. Moser, Ahmed Anwar, Federico Raue +2
Traditional blind image SR methods need to model real-world degradations precisely. Consequently, current research struggles with this dilemma by assuming idealized degradations, w…
eess.IV2024
A Study in Dataset Pruning for Image Super-Resolution
Brian B. Moser, Federico Raue, Andreas Dengel
In image Super-Resolution (SR), relying on large datasets for training is a double-edged sword. While offering rich training material, they also demand substantial computational an…