  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 camera. The runtime of the
resulting models was evaluated on the Kirin 9000's Mali GPU that provides
excellent acceleration results for the majority of common deep learning ops. A
detailed description of all models developed in this challenge is provided in
this paper.
