Deep Learning for Multiple-Image Super-Resolution

1 March 2019

Papers citing "Deep Learning for Multiple-Image Super-Resolution"

8 / 8 papers shown

Title
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding Fei Wang Xingyu Fu James Y. Huang Zekun Li Qin Liu ... Kai-Wei Chang Dan Roth Sheng Zhang Hoifung Poon Muhao Chen VLM 50 47 0 13 Jun 2024
CANDID: Correspondence AligNment for Deep-burst Image Denoising Arijit Mallick Raphael Braun Hendrik PA Lensch 31 0 0 16 Jun 2023
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution Mingming Xiu Yang Nie Qing-Huang Song Chun Liu SupR ViT 26 1 0 12 Mar 2023
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution Paweł Kowaleczko Tomasz Tarasiewicz Maciej Ziaja Daniel Kostrzewa J. Nalepa Przemyslaw Rokita M. Kawulok SupR 37 17 0 06 Oct 2022
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series Lukasz Tulczyjew M. Kawulok Nicolas Longépé Bertrand Le Saux J. Nalepa 21 14 0 03 Aug 2022
A Comprehensive Review of Deep Learning-based Single Image Super-resolution S. M. A. Bashir Yi Wang Mahrukh Khan Yilong Niu SupR AI4Cl 45 113 0 18 Feb 2021
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks Francesco Salvetti Vittorio Mazzia Aleem Khaliq Marcello Chiaberge SupR 40 115 0 06 Jul 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 29 10 0 25 Feb 2020