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As mobile cameras with compact optics are unable to produce a strong bokeheffect, lots of interest is now devoted to deep learning-based solutions forthis task. In this Mobile AI challenge, the target was to develop an efficientend-to-end AI-based bokeh effect rendering approach that can run on modernsmartphone GPUs using TensorFlow Lite. The participants were provided with alarge-scale EBB! bokeh dataset consisting of 5K shallow / wide depth-of-fieldimage pairs captured using the Canon 7D DSLR camera. The runtime of theresulting models was evaluated on the Kirin 9000's Mali GPU that providesexcellent acceleration results for the majority of common deep learning ops. Adetailed description of all models developed in this challenge is provided inthis paper.

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report