Channel Attention based Iterative Residual Learning for Depth Map
Super-Resolution

Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

2 June 2020

Yuchao Dai

Papers citing "Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution"

9 / 9 papers shown

Title
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Athanasios Tragakis Chaitanya Kaul Kevin J. Mitchell H. Dai R. Murray-Smith Daniele Faccio MDE 138 0 0 03 Jan 2025
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution Huan Zheng Wencheng Han Jianbing Shen 65 1 0 05 Nov 2024
Recurrent Structure Attention Guidance for Depth Super-Resolution Jiayi Yuan Haobo Jiang Xiang Li J. Qian Jun Yu Li Jian Yang SupR MDE 40 15 0 31 Jan 2023
Structure Flow-Guided Network for Real Depth Super-Resolution Jiayi Yuan Haobo Jiang Xiang Li J. Qian Jun Yu Li Jian Yang SupR 22 9 0 31 Jan 2023
Super-resolution 3D Human Shape from a Single Low-Resolution Image Marco Pesavento M. Volino A. Hilton SupR 3DH 16 11 0 23 Aug 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks N. Babaguchi John R. Smith Pengxu Wei T. Plagemann Rong Yan AAML 18 25 0 31 Jul 2022
Learning Graph Regularisation for Guided Super-Resolution Riccardo de Lutio Alexander Becker Stefano Dáronco S. Russo Jan Dirk Wegner Konrad Schindler SupR 18 36 0 27 Mar 2022
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 23 160 0 07 Jul 2021
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution Zixiang Zhao Jiangshe Zhang Shuang Xu Chunxia Zhang Junmin Liu 34 92 0 14 Apr 2021