cavsr

https://github.com/aprblue/cavsr

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (8.3%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: aprBlue
Language: Python
Default Branch: master
Size: 3.41 MB

Statistics

Stars: 46
Watchers: 1
Forks: 3
Open Issues: 5
Releases: 1

Created almost 3 years ago · Last pushed over 2 years ago

Metadata Files

Readme Citation

CAVSR: Compression-Aware Video Super-Resolution [CVPR 2023]

[Paper] [Poster] [Video] [PPT]

Introduction

In this paper, we propose a novel and practical compression-aware video super-resolution model, which could adapt its video enhancement process to the estimated compression level.

A compression encoder is designed to model compression levels of input frames, and a base VSR model is then conditioned on the implicitly computed representation by inserting compression-aware modules.
In addition, we propose to further strengthen the VSR model by taking full advantage of meta data that is embedded naturally in compressed video streams in the procedure of information fusion.

Getting Started

Installation

bash pip install -r requirements.txt python setup.py develop

Evaluation

Copy the dataset and checkpoints to the workplace.
Run scripts: bash python basicsr/test.py -opt script/test_sota.yml

License

All assets and code are under the Apache 2.0 license unless specified otherwise.

Bibtex

If this work is helpful for your research, please consider citing the following BibTeX entry.

@InProceedings{Wang_2023_CVPR, title = {Compression-Aware Video Super-Resolution}, author = {Wang, Yingwei and Isobe, Takashi and Jia, Xu and Tao, Xin and Lu, Huchuan and Tai, Yu-Wing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, }

Owner

Name: Wang Yingwei
Login: aprBlue
Kind: user

Repositories: 1
Profile: https://github.com/aprBlue

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this project, please cite it as below."
title: "BasicSR: Open Source Image and Video Restoration Toolbox"
version: 1.3.5
date-released: 2022-02-16
url: "https://github.com/XPixelGroup/BasicSR"
license: Apache-2.0
authors:
  - family-names: BasicSR
    given-names: Authors

ecosyste.ms

Data

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Open Source Science