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Partial occlusion effects are a phenomenon that blurry objects near a cameraare semi-transparent, resulting in partial appearance of occluded background.However, it is challenging for existing bokeh rendering methods to simulaterealistic partial occlusion effects due to the missing information of theoccluded area in an all-in-focus image. Inspired by the learnable 3D scenerepresentation, Multiplane Image (MPI), we attempt to address the partialocclusion by introducing a novel MPI-based high-resolution bokeh renderingframework, termed MPIB. To this end, we first present an analysis on how toapply the MPI representation to bokeh rendering. Based on this analysis, wepropose an MPI representation module combined with a background inpaintingmodule to implement high-resolution scene representation. This representationcan then be reused to render various bokeh effects according to the controllingparameters. To train and test our model, we also design a ray-tracing-basedbokeh generator for data generation. Extensive experiments on synthesized andreal-world images validate the effectiveness and flexibility of this framework.

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects