Learning Graph Regularisation for Guided Super-Resolution

Learning Graph Regularisation for Guided Super-Resolution

27 March 2022

Riccardo de Lutio

Alexander Becker

Stefano Dáronco

Jan Dirk Wegner

Konrad Schindler

Papers citing "Learning Graph Regularisation for Guided Super-Resolution"

8 / 8 papers shown

Title
DuCos: Duality Constrained Depth Super-Resolution via Foundation Model Zhiqiang Yan Zhengxue Wang Haoye Dong Jun Yu Li Jian Yang Gim Hee Lee 67 0 0 06 Mar 2025
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation Zhenyu Li Shariq Farooq Bhat Peter Wonka 3DV MDE 31 7 0 10 Jun 2024
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics Sriram Ravindran Debraj Basu 29 2 0 20 Sep 2023
Depth Super-Resolution from Explicit and Implicit High-Frequency Features Xin Qiao Chenyang Ge Youming Zhang Yanhui Zhou Fabio Tosi Matteo Poggi S. Mattoccia SupR MDE 24 6 0 16 Mar 2023
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution Xiaoyu Dong Naoto Yokoya Longguang Wang Tatsumi Uezato 34 18 0 19 Jul 2022
Guided Deep Decoder: Unsupervised Image Pair Fusion Tatsumi Uezato Danfeng Hong Naoto Yokoya Wei He MDE 22 81 0 23 Jul 2020
Deformable Kernel Networks for Joint Image Filtering Beomjun Kim Jean Ponce Bumsub Ham 47 124 0 17 Oct 2019
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 166 371 0 10 Nov 2015