10 citations · 10 across the 1 of their papers we have counts for
4 papers
Multi-Attention Based Ultra Lightweight Image Super-Resolution
Abdul Muqeet, Jiwon Hwang, Subin Yang +3
Lightweight image super-resolution (SR) networks have the utmost significance for real-world applications. There are several deep learning based SR methods with remarkable performa…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks
Jae-Seok Choi, Yongwoo Kim, Munchurl Kim
Recently, many deep-learning-based pan-sharpening methods have been proposed for generating high-quality pan-sharpened (PS) satellite images. These methods focused on various types…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…