Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
- Title
- Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
- Authors
- LEE, JUNYONG; LEE, MYEONGHEE; CHO, SUNGHYUN; LEE, SEUNGYONG
- Date Issued
- 2022-06-24
- Publisher
- IEEE/CVF
- Abstract
- © 2022 IEEE.We propose the first reference-based video super-resolution (RefVSR) approach that utilizes reference videos for high-fidelity results. We focus on RefVSR in a triple-camera setting, where we aim at super-resolving a low-resolution ultra-wide video utilizing wide-angle and tele-photo videos. We introduce the first RefVSR network that re-currently aligns and propagates temporal reference features fused with features extracted from low-resolution frames. To facilitate the fusion and propagation of temporal reference features, we propose a propagative temporal fusion module. For learning and evaluation of our network, we present the first RefVSR dataset consisting of triplets of ultra-wide, wide-angle, and telephoto videos concurrently taken from triple cameras of a smartphone. We also propose a two-stage training strategy fully utilizing video triplets in the proposed dataset for real-world 4 × video super-resolution. We extensively evaluate our method, and the result shows the state-of-the-art performance in 4 × super-resolution.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/114437
- ISSN
- 1063-6919
- Article Type
- Conference
- Citation
- CVPR, page. 17803 - 17812, 2022-06-24
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.