most citedA Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

5 citations · 9 across the 3 of their papers we have counts for

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cs.CV2022

Realistic Blur Synthesis for Learning Image Deblurring

Jaesung Rim, Geonung Kim, Jungeon Kim +3

Training learning-based deblurring methods demands a tremendous amount of blurred and sharp image pairs. Unfortunately, existing synthetic datasets are not realistic enough, and de…