Zhengyu Liang — accepted AI-conference papers

2023

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution

Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo

ICCV 2023poster

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. Although many deep neural networks (DNNs) have been developed for LF image SR and achieved continuousl…

Cited by 69 PDF ↗code ↗Scholar ↗

2022

Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Wei An, Yulan Guo

CVPR 2022poster

Matching cost construction is a key step in light field (LF) depth estimation, but was rarely studied in the deep learning era. Recent deep learning-based LF depth estimation methods construct matching cost by sequentially shifting each sub-aperture image (SAI) with a series of predefined offsets, w…

Cited by 106 PDF ↗code ↗Scholar ↗