Results 41 to 50 of about 4,439,729 (275)
Window views can enable restorativeness. Previous studies define characteristics of natural environment that trigger restorativeness, but fewer studies are dealing with restorative characteristics of urban environment.
Ljudmila Koprivec +2 more
semanticscholar +1 more source
Effects of Natural Environmental Stimulation Duration on Psychophysiological Recovery Benefits
The rapid pace of modern life, as well as chronic work and academic overloading, contribute to our society’s progressively increasing stress levels. Chronic stress can affect both physical and mental well-being.
Yen-Cheng Chiang, Pei-Yi Weng
doaj +1 more source
There is little empirical research into the benefits and experiences of coaching specifically in the outdoors. Attention Restoration Theory (ART) identifies four facets that explain why nature enables the brain to restore directed attention, improve ...
A. Burn, J. Passmore
semanticscholar +1 more source
Adaptive Cross-Layer Attention for Image Restoration
Non-local attention module has been proven to be crucial for image restoration. Conventional non-local attention processes features of each layer separately, so it risks missing correlation between features among different layers. To address this problem, we aim to design attention modules that aggregate information from different layers.
Yancheng Wang +3 more
openaire +2 more sources
Interactive and immersive technologies such as video games, exergames, and virtual reality are typically regarded as entertainment mediums. They also offer a multitude of health and well-being benefits.
Adam C. Barton +2 more
doaj +1 more source
Nature walks are an effective and popular means to replenish fatigued mental resources. Alas, nature walks are not always accessible due to a lack of time or limited availability. We report on the design and pilot test of a room-scale virtual reality (VR)
Christoph Rockstroh +3 more
doaj +1 more source
Accurate Image Restoration with Attention Retractable Transformer
Recently, Transformer-based image restoration networks have achieved promising improvements over convolutional neural networks due to parameter-independent global interactions. To lower computational cost, existing works generally limit self-attention computation within non-overlapping windows. However, each group of tokens are always from a dense area
Jiale Zhang +5 more
openaire +3 more sources
Concatenated Attention Neural Network for Image Restoration
In this paper, we present a general framework for low-level vision tasks including image compression artifacts reduction and image denoising. Under this framework, a novel concatenated attention neural network (CANet) is specifically designed for image restoration.
Yingjie Tian 0001 +3 more
openaire +2 more sources
BackgroundRapid urbanization has intensified psychological stress among urban residents. As highly accessible forms of urban green space, small urban parks play a vital role in fostering psychological resilience and restorative experiences.
Yuxi Weng +4 more
doaj +1 more source
MambaIRv2: Attentive State Space Restoration
The Mamba-based image restoration backbones have recently demonstrated significant potential in balancing global reception and computational efficiency. However, the inherent causal modeling limitation of Mamba, where each token depends solely on its predecessors in the scanned sequence, restricts the full utilization of pixels across the image and ...
Hang Guo 0002 +7 more
openaire +4 more sources

