A Dense Prediction ViT Network for Single Image Bokeh Rendering-Reference-Cited by-同舟云学术

A Dense Prediction ViT Network for Single Image Bokeh Rendering

Published:2022 Issue: Volume: Page:213-222
ISSN:0302-9743
Container-title:Pattern Recognition and Computer Vision
language:
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Author:

Wang Zhifeng^ORCID,Jiang Aiwen^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18916-6_18

Reference24 articles.

1. Ignatov, A., Patel, J., Timofte, R., et al.: Aim 2019 challenge on bokeh effect synthesis: methods and results. In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pp. 3591–3598. IEEE (2019)

2. Lecture Notes in Computer Science;A Ignatov,2020

3. Wang, Z., Jiang, A., Zhang, C., et al.: Self-supervised multi-scale pyramid fusion networks for realistic bokeh effect rendering. J. Vis. Commun. Image Represen. 87, 103580 (2022)

4. Purohit, K., Suin, M., Kandula, P., et al.: Depth-guided dense dynamic filtering network for bokeh effect rendering. In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pp. 3417–3426. IEEE (2019)

5. Ignatov, A., Patel, J., Timofte, R.: Rendering natural camera bokeh effect with deep learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 418–419 (2020)

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