activity
20192021
most citedAIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Fourier Space Losses for Efficient Perceptual Image Super-Resolution

Dario Fuoli, Luc Van Gool, Radu Timofte

Many super-resolution (SR) models are optimized for high performance only and therefore lack efficiency due to large model complexity. As large models are often not practical in re…

eess.IV2020★ 1 cited

An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

Dario Fuoli, Zhiwu Huang, Danda Pani Paudel +2

Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the…

cs.CV2020★ 5 cited

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

Dario Fuoli, Zhiwu Huang, Shuhang Gu +23

This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR)…

eess.IV2020

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results

Dario Fuoli, Zhiwu Huang, Martin Danelljan +18

This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain. The chall…

eess.IV2019

Efficient Video Super-Resolution through Recurrent Latent Space Propagation

Dario Fuoli, Shuhang Gu, Radu Timofte

With the recent trend for ultra high definition displays, the demand for high quality and efficient video super-resolution (VSR) has become more important than ever. Previous metho…