  We present a method for post-processing point clouds' geometric information
by applying a previously proposed fractional super-resolution technique to
clouds compressed and decoded with MPEG's G-PCC codec. In some sense, this is a
continuation of that previous work, which requires only a down-scaled point
cloud and a scaling factor, both of which are provided by the G-PCC codec. For
non-solid point clouds, an a priori down-scaling is required for improved
efficiency. The method is compared to the GPCC itself, as well as
machine-learning-based techniques. Results show a great improvement in quality
over GPCC and comparable performance to the latter techniques, with the
