MRF-SA: Multi-Receptive Field Spatial-Angular Framework for Light Field Angular Super-Resolution

Ebrahem Elkady

doi:10.3390/math14101584

MRF-SA: Multi-Receptive Field Spatial-Angular Framework for Light Field Angular Super-Resolution

2026-05-07

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DOI：10.3390/math14101584

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Light field angular super-resolution (LFASR) aims to reconstruct densely sampled views from sparse inputs by exploiting spatial-angular correlations, thereby producing rich spatial-angular representations and enabling applications such as 3D reconstruction, refocusing, and virtual reality. In this paper, we propose a multi-receptive field spatial-angular (MRF-SA) framework that jointly captures fine-grained details and long-range dependencies through complementary spatial and angular branches. This design enables effective modeling of disparity-aware interactions without relying on computationally expensive attention mechanisms. In addition, we introduce a lightweight variant based on depth-wise separable convolutions to achieve a favorable tradeoff between reconstruction accuracy and computational efficiency. Extensive experiments on both real-world and synthetic datasets demonstrate that the proposed method achieves competitive performance compared to state-of-the-art approaches.

Keywords:

light field

angular super-resolution

view synthesis

angular reconstruction

MRF-SA: Multi-Receptive Field Spatial-Angular Framework for Light Field Angular Super-Resolution

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