4 citations · 9 across the 5 of their papers we have counts for
5 papers
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution
Wentao Chao, Fuqing Duan, Yulan Guo +1
Data augmentation (DA) is an effective approach for enhancing model performance with limited data, such as light field (LF) image super-resolution (SR). LF images inherently posses…
LFSRDiff: Light Field Image Super-Resolution via Diffusion Models
Wentao Chao, Fuqing Duan, Xuechun Wang +2
Light field (LF) image super-resolution (SR) is a challenging problem due to its inherent ill-posed nature, where a single low-resolution (LR) input LF image can correspond to mult…
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation
Wentao Chao, Fuqing Duan, Xuechun Wang +2
Light field (LF) depth estimation is a crucial task with numerous practical applications. However, mainstream methods based on the multi-view stereo (MVS) are resource-intensive an…
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Wentao Chao, Xuechun Wang, Yingqian Wang +2
Light field (LF) depth estimation plays a crucial role in many LF-based applications. Existing LF depth estimation methods consider depth estimation as a regression problem, where…
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…