ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.13094
  4. Cited By
High-Order Residual Network for Light Field Super-Resolution

High-Order Residual Network for Light Field Super-Resolution

29 March 2020
Nan Meng
Xiaofei Wu
Jianzhuang Liu
E. Lam
ArXivPDFHTML

Papers citing "High-Order Residual Network for Light Field Super-Resolution"

5 / 5 papers shown
Title
Learning Non-Local Spatial-Angular Correlation for Light Field Image
  Super-Resolution
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Zhengyu Liang
Yingqian Wang
Longguang Wang
Jungang Yang
Shilin Zhou
Y. Guo
47
38
0
16 Feb 2023
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang
Longguang Wang
Gaochang Wu
Jungang Yang
Wei An
Jingyi Yu
Yulan Guo
52
191
0
22 Feb 2022
Light field Rectification based on relative pose estimation
Light field Rectification based on relative pose estimation
Xiao Huo
Dongyang Jin
Saiping Zhang
Fuzheng Yang
21
0
0
29 Jan 2022
Dense Dual-Attention Network for Light Field Image Super-Resolution
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
Spatial-Angular Interaction for Light Field Image Super-Resolution
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
1