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Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report. (arXiv:2211.06769v1 [eess.IV])
Nov. 15, 2022, 2:15 a.m. | Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Gu
cs.CV updates on arXiv.org arxiv.org
As mobile cameras with compact optics are unable to produce a strong bokeh
effect, lots of interest is now devoted to deep learning-based solutions for
this task. In this Mobile AI challenge, the target was to develop an efficient
end-to-end AI-based bokeh effect rendering approach that can run on modern
smartphone GPUs using TensorFlow Lite. The participants were provided with a
large-scale EBB! bokeh dataset consisting of 5K shallow / wide depth-of-field
image pairs captured using the Canon 7D DSLR …
More from arxiv.org / cs.CV updates on arXiv.org
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