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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'ClearView: Practical Image Deraining with PyTorch'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Saumya Kumaar
family-names: Saksena
email: kumaar324@gmail.com
orcid: 'https://orcid.org/0000-0003-2213-8265'
affiliation: Independent Researcher
identifiers:
- type: url
value: 'https://github.com/dronefreak/clearview'
description: GitHub repository
repository-code: 'https://github.com/dronefreak/clearview'
url: 'https://github.com/dronefreak/clearview'
abstract: >-
ClearView is a PyTorch-based deep learning framework for
single-image deraining. It provides modular implementations
of state-of-the-art deraining models including U-Net and
ResNet-based architectures, along with comprehensive loss
functions (perceptual, edge, SSIM) and evaluation metrics
(PSNR, SSIM). The framework emphasizes reproducibility,
extensive testing (280+ tests, 95% coverage), and production
readiness with CI/CD integration.
keywords:
- image deraining
- deep learning
- pytorch
- computer vision
- image restoration
- rain removal
- u-net
- resnet
- perceptual loss
- image processing
license: Apache-2.0
version: 1.0.0
date-released: '2025-01-25'