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Aim 2020 challenge on rendering realistic bokeh
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides
the description of the proposed solutions and results. The participating teams were solving a …
the description of the proposed solutions and results. The participating teams were solving a …
Aim 2019 challenge on bokeh effect synthesis: Methods and results
This paper reviews the first AIM challenge on bokeh effect synthesis with the focus on
proposed solutions and results. The participating teams were solving a real-world image-to …
proposed solutions and results. The participating teams were solving a real-world image-to …
Rendering natural camera bokeh effect with deep learning
Bokeh is an important artistic effect used to highlight the main object of interest on the photo
by blurring all out-of-focus areas. While DSLR and system camera lenses can render this …
by blurring all out-of-focus areas. While DSLR and system camera lenses can render this …
Distillation-guided image inpainting
Image inpainting methods have shown significant improvements by using deep neural
networks recently. However, many of these techniques often create distorted structures or …
networks recently. However, many of these techniques often create distorted structures or …
Dc2: Dual-camera defocus control by learning to refocus
Smartphone cameras today are increasingly approaching the versatility and quality of
professional cameras through a combination of hardware and software advancements …
professional cameras through a combination of hardware and software advancements …
NTIRE 2021 depth guided image relighting challenge
Image relighting is attracting increasing interest due to its various applications. From a
research perspective, image relighting can be exploited to conduct both image …
research perspective, image relighting can be exploited to conduct both image …
Efficient multi-lens bokeh effect rendering and transformation
Many advancements of mobile cameras aim to reach the visual quality of professional DSLR
cameras. Great progress was shown over the last years in optimizing the sharp regions of an …
cameras. Great progress was shown over the last years in optimizing the sharp regions of an …
Detection of road objects with small appearance in images for autonomous driving in various traffic situations using a deep learning based approach
Effectively detecting road objects in various environments would significantly improve
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …
Constrained predictive filters for single image bokeh rendering
Bokeh rendering is a technique used to take pictures with out-of-focus areas to highlight
regions of interest. Due to limitations in hardware and shooting condition, rendering a bokeh …
regions of interest. Due to limitations in hardware and shooting condition, rendering a bokeh …
Stacked deep multi-scale hierarchical network for fast bokeh effect rendering from a single image
Abstract The Bokeh Effect is one of the most desirable effects in photography for rendering
artistic and aesthetic photos. Usually, it requires a DSLR camera with different aperture and …
artistic and aesthetic photos. Usually, it requires a DSLR camera with different aperture and …