In this paper, we propose a novel multi-view generation framework that considers the spatiotemporal consistency of each
synthesized multi-view. Rather than independently filling in the holes of individual generated images, the proposed
framework gathers hole information from each synthesized multi-view image to a reference viewpoint. The method then
constructs a hole map and a SVRL (single view reference layer) at the reference viewpoint before restoring the holes in
the SVRL, thereby generating a spatiotemporally consistent view. A hole map is constructed using depth information of
the reference viewpoint and the input/output baseline length ratio. Thus, the holes in the SVRL can also represent holes
in other multi-view images. To achieve temporally consistent hole filling in the SVRL, the restoration of holes in the
current SVRL is performed by propagating the pixel value of the previous SVRL. Further hole filling is performed using
a depth- and exemplar-based inpainting method. The experimental results showed that the proposed method generates
high-quality spatiotemporally consistent multi-view images in various input/output environments. In addition, the
proposed framework decreases the complexity of the hole-filling process by reducing repeated hole filling.
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