AIM 2020 challenge on rendering realistic bokeh

A Ignatov, R Timofte, M Qian, C Qiao, J Lin… - Computer Vision–ECCV …, 2020 - Springer
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 …

Aim 2019 challenge on bokeh effect synthesis: Methods and results

A Ignatov, J Patel, R Timofte, B Zheng… - 2019 IEEE/CVF …, 2019 - ieeexplore.ieee.org
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 …

Rendering natural camera bokeh effect with deep learning

A Ignatov, J Patel, R Timofte - Proceedings of the IEEE/CVF …, 2020 - openaccess.thecvf.com
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 …

Distillation-guided image inpainting

M Suin, K Purohit… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Image inpainting methods have shown significant improvements by using deep neural
networks recently. However, many of these techniques often create distorted structures or …

Efficient multi-lens bokeh effect rendering and transformation

T Seizinger, MV Conde, M Kolmet… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

NTIRE 2021 depth guided image relighting challenge

M El Helou, R Zhou, S Susstrunk… - Proceedings of the …, 2021 - openaccess.thecvf.com
Image relighting is attracting increasing interest due to its various applications. From a
research perspective, image relighting can be exploited to conduct both image …

Detection of road objects with small appearance in images for autonomous driving in various traffic situations using a deep learning based approach

G Li, H Xie, W Yan, Y Chang, X Qu - IEEE Access, 2020 - ieeexplore.ieee.org
Effectively detecting road objects in various environments would significantly improve
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …

Constrained predictive filters for single image bokeh rendering

B Zheng, Q Chen, S Yuan, X Zhou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Stacked deep multi-scale hierarchical network for fast bokeh effect rendering from a single image

S Dutta, SD Das, NA Shah… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …

Depth-guided deep filtering network for efficient single image bokeh rendering

Q Chen, B Zheng, X Zhou, A Huang, Y Sun… - Neural Computing and …, 2023 - Springer
Bokeh effect is usually used to highlight major contents in an image. Limited by the small
sensors, cameras on smartphones are less sensitive to the depth information and cannot …