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eess.IV2026
Less is More: Skim Transformer for Light Field Image Super-resolution
Zeke Zexi Hu, Haodong Chen, Hui Ye +4
A light field image captures scenes through its micro-lens array, providing a rich representation that encompasses spatial and angular information. While this richness comes at sig…
eess.IV2025
Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution
Zeke Zexi Hu, Xiaoming Chen, Vera Yuk Ying Chung +1
The effective extraction of spatial-angular features plays a crucial role in light field image super-resolution (LFSR) tasks, and the introduction of convolution and Transformers l…