DeOccNet: Learning to See Through Foreground Occlusions in Light Fields

10 December 2019

Papers citing "DeOccNet: Learning to See Through Foreground Occlusions in Light Fields"

7 / 7 papers shown

Title
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views Jiyuan Zhang Shiyan Chen Yajing Zheng Zhaofei Yu Tiejun Huang 3DH 36 3 0 03 Jul 2023
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images Jiwan Hur Jae Young Lee Jaehyun Choi Junmo Kim 33 8 0 16 Jan 2023
Learning to See Through with Events Lei Yu Xiang Zhang Wei Liao Wentao Yang Guisong Xia 34 14 0 05 Dec 2022
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images Shansi Zhang Nan Meng E. Lam ViT 47 20 0 06 Sep 2022
Dense Dual-Attention Network for Light Field Image Super-Resolution Byunggook Na Yingqian Wang Chao Xiao Kwang Choon Kim Yoon-Ji Kim SupR 20 28 0 23 Oct 2021
Light Field Image Super-Resolution with Transformers Zhengyu Liang Yingqian Wang Longguang Wang Jungang Yang Shilin Zhou ViT 25 115 0 17 Aug 2021
Spatial-Angular Interaction for Light Field Image Super-Resolution Yingqian Wang Longguang Wang Jungang Yang W. An Jingyi Yu Yulan Guo 23 151 0 17 Dec 2019