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What is Hybrid Mamba-Transformer for LFSR about?

This document presents a novel hybrid Mamba-Transformer framework, LFMT, designed for light field super-resolution (LFSR) that enhances feature extraction efficiency and captures non-local spatial-angular correlations. The framework utilizes a Subspace Simple Scanning strategy and a dual-stage modeling approach to improve the performance of LFSR while maintaining low computational complexity. Experimental results indicate that LFMT significantly outperforms existing state-of-the-art methods in both quantita

Author

Wafa Benzaoui

Language

EN