Disentangling light fields for super-resolution and disparity estimation
Light field (LF) cameras record both intensity and directions of light rays, and encode 3D
scenes into 4D LF images. Recently, many convolutional neural networks (CNNs) have …
scenes into 4D LF images. Recently, many convolutional neural networks (CNNs) have …
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 …
(SR), but is highly challenging due to its non-local property caused by the disparities among …
Cross-view recurrence-based self-supervised super-resolution of light field
Compared with external-supervised learning-based (ESLB) methods, self-supervised
learning-based (SSLB) methods can overcome the domain gap problem caused by different …
learning-based (SSLB) methods can overcome the domain gap problem caused by different …
[HTML][HTML] A survey for light field super-resolution
Compared to 2D imaging data, the 4D light field (LF) data retains richer scene's structure
information, which can significantly improve the computer's perception capability, including …
information, which can significantly improve the computer's perception capability, including …