filename     : Ber25a.pdf
entry        : inproceedings
conference   : ICCV 2025, Honolulu, USA 19-23 October, 2025
pages        : 11558-11567
year         : 2025
month        : 10
title        : LDIP: Long Distance Information Propagation for Video Super-Resolution
subtitle     :
author       : Bernasconi, Michael and Djelouah, Abdelaziz and Zhang, Yang and Gross, Markus and Schroers, Christopher
booktitle    : Proceedings of the IEEE/CVF International Conference on Computer Vision
ISSN/ISBN    :
editor       : 
publisher    :
publ.place   :
volume       :
issue        :
language     : English
keywords     : super-resolution, video super-resolution
abstract     : Video super-resolution (VSR) methods typically exploit information across multiple frames to achieve high quality upscaling, with recent approaches demonstrating impressive performance. Nevertheless, challenges remain, particularly in effectively leveraging information over long distances. To address this limitation in VSR, we propose a strategy for long distance information propagation with a flexible fusion module that can optionally also assimilate information from additional high resolution reference images. We design our overall approach such that it can leverage existing pre-trained VSR backbones and adapt the feature upscaling module to support arbitrary scaling factors. Our experiments demonstrate that we can achieve state-of-theart results on perceptual metrics and deliver more visually pleasing results compared to existing solutions.