Self-supervised multi-scale pyramid fusion networks for realistic bokeh effect rendering-Reference-Cited by-同舟云学术

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Self-supervised multi-scale pyramid fusion networks for realistic bokeh effect rendering

Published:2022-08 Issue: Volume:87 Page:103580
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Wang Zhifeng,Jiang Aiwen^ORCID,Zhang Chunjie^ORCID,Li Hanxi,Liu Bo

Funder

State Key Laboratory for Management and Control of Complex Systems

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference42 articles.

1. Aim 2019 challenge on bokeh effect synthesis: Methods and results;Ignatov,2019

2. Aim 2020 challenge on rendering realistic bokeh;Ignatov,2020

3. Synthetic depth-of-field with a single-camera mobile phone;Neal;ACM Trans. Graph.,2018

4. Megadepth: Learning single-view depth prediction from internet photos;Li,2018

5. Rendering natural camera bokeh effect with deep learning;Ignatov,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Depth-guided deep filtering network for efficient single image bokeh rendering;Neural Computing and Applications;2023-07-26

2. Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network;IEEE Transactions on Multimedia;2023

3. A Dense Prediction ViT Network for Single Image Bokeh Rendering;Pattern Recognition and Computer Vision;2022

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