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Temporally consistent low-light face video enhancement via video-to-video conditional diffusion. [PDF]

Sci Rep
Ding X, He K, Sun H, Yang J.
europepmc   +1 more source

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Dual-domain strip attention for image restoration

Neural Networks, 2023
Image restoration aims to reconstruct a latent high-quality image from a degraded observation. Recently, the usage of Transformer has significantly advanced the state-of-the-art performance of various image restoration tasks due to its powerful ability to model long-range dependencies.
Yuning Cui, Alois Knoll
exaly   +4 more sources

Sensescapes and attention restoration in nature-based tourism: Evidence from China and Australia

Tourism Management Perspectives, 2021
Several prior single-location case studies have found that the sensescape of a natural environment contributes to visitors' attention restoration. This study tests the effects of a soundscape and a visualscape on attention restoration using data from two
Mengyuan Qiu, Xin Jin, Noel Scott
exaly   +2 more sources

Strip Attention for Image Restoration

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
As a long-standing task, image restoration aims to recover the latent sharp image from its degraded counterpart. In recent years, owing to the strong ability of self-attention in capturing long-range dependencies, Transformer based methods have achieved promising performance on multifarious image restoration tasks. However, the canonical self-attention
Yuning Cui 0001, Yi Tao, Luoxi Jing, Alois Knoll   +3 more
openaire   +1 more source

Welcome to stay-at-home travel and virtual attention restoration

Journal of Hospitality and Tourism Management, 2022
The present investigation takes a qualitative approach to explore Airbnb's Online Experience as a new virtual tourism initiative through the lens of attention restoration theory.
I. Wong, Shuyin Lin, Z. Lin, Xiling Xiong   +3 more
semanticscholar   +1 more source

Attention restoration theory as a framework for analysis of Tweets about urban green space: a case study

Landscape Research, 2020
In this study, the use of Twitter as a potential method to capture unsolicited views of urban green spaces was explored. Tweets were content analysed using attention restoration theory (ART) as the framework.
Stephanie Wilkie
exaly   +2 more sources

Synergic Feature Attention for Image Restoration

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Local and non-local attentions are both effective methods in the domain of image restoration (IR). However, most existing image restoration methods use these two strategies indiscriminately, and how to make a trade-off between local and non-local attention operations has hardly been studied. Furthermore, the commonly used pixel-wise non-local operation
Chong Mou, Jian Zhang 0018
openaire   +1 more source

Learning Deformable and Attentive Network for image restoration

Knowledge-Based Systems, 2021
Abstract Image restoration (IR) aims to recover image quality from various degradations. Existing convolutional neural networks (CNN) based IR methods try to improve performance by enlarging the model receptive field with the sacrifice of fine spatial details and extra artifacts.
Yuan Huang, Xingsong Hou, Yujie Dun, Jie Qin 0004, Li Liu 0004, Xueming Qian, Ling Shao 0001   +6 more
openaire   +1 more source