Abstract:Deep learning-based methods have prompted light field image super-resolution to achieve significant progress. However, most of them ignore aligning different sub-aperture features of light field image before aggregation, resulting in sub-optimal super-resolution results. We aim to propose an efficient feature alignment method for sub-aperture feature aggregation. To this end, we develop a mutual attention mechanism for sub-aperture feature alignment and propose a mutual attention guidance block (MAG). MAG achi… Show more
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