Diffusion Models for Image Restoration and Enhancement--A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in the low-level
vision field, which strives to improve the subjective quality of images distorted by various …
vision field, which strives to improve the subjective quality of images distorted by various …
Transweather: Transformer-based restoration of images degraded by adverse weather conditions
JMJ Valanarasu, R Yasarla… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Removing adverse weather conditions like rain, fog, and snow from images is an important
problem in many applications. Most methods proposed in the literature have been designed …
problem in many applications. Most methods proposed in the literature have been designed …
Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model
In this paper, an ill-posed problem of multiple adverse weather removal is investigated. Our
goal is to train a model with a'unified'architecture and only one set of pretrained weights that …
goal is to train a model with a'unified'architecture and only one set of pretrained weights that …
Restoring vision in adverse weather conditions with patch-based denoising diffusion models
O Özdenizci, R Legenstein - IEEE Transactions on Pattern …, 2023 - ieeexplore.ieee.org
Image restoration under adverse weather conditions has been of significant interest for
various computer vision applications. Recent successful methods rely on the current …
various computer vision applications. Recent successful methods rely on the current …
Focal network for image restoration
Image restoration aims to reconstruct a sharp image from its degraded counterpart, which
plays an important role in many fields. Recently, Transformer models have achieved …
plays an important role in many fields. Recently, Transformer models have achieved …
All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss
WT Chen, HY Fang, CL Hsieh… - Proceedings of the …, 2021 - openaccess.thecvf.com
Snow is a highly complicated atmospheric phenomenon that usually contains snowflake,
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …
Promptrestorer: A prompting image restoration method with degradation perception
We show that raw degradation features can effectively guide deep restoration models,
providing accurate degradation priors to facilitate better restoration. While networks that do …
providing accurate degradation priors to facilitate better restoration. While networks that do …
Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions
Image restoration under multiple adverse weather conditions aims to remove weather-
related artifacts by using the single set of network parameters. In this paper, we find that …
related artifacts by using the single set of network parameters. In this paper, we find that …
Revitalizing convolutional network for image restoration
Image restoration aims to reconstruct a high-quality image from its corrupted version, playing
essential roles in many scenarios. Recent years have witnessed a paradigm shift in image …
essential roles in many scenarios. Recent years have witnessed a paradigm shift in image …
Restoring images in adverse weather conditions via histogram transformer
Transformer-based image restoration methods in adverse weather have achieved significant
progress. Most of them use self-attention along the channel dimension or within spatially …
progress. Most of them use self-attention along the channel dimension or within spatially …