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Found 5 papers, 5 papers with code
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
In this report, we summarize the first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradation with a magnification factor of 4.
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Exploiting spatial-angular correlation is crucial to light field (LF) image super-resolution (SR), but is highly challenging due to its non-local property caused by the disparities among LF images.
Real-World Light Field Image Super-Resolution via Degradation Modulation
In our method, a practical LF degradation model is developed to formulate the degradation process of real LF images.
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Based on the proposed cost constructor, we develop a deep network for LF depth estimation.
Light Field Image Super-Resolution with Transformers
With the proposed angular and spatial Transformers, the beneficial information in an LF can be fully exploited and the SR performance is boosted.
