  We propose IntegratedPIFu, a new pixel aligned implicit model that builds on
the foundation set by PIFuHD. IntegratedPIFu shows how depth and human parsing
information can be predicted and capitalised upon in a pixel-aligned implicit
model. In addition, IntegratedPIFu introduces depth oriented sampling, a novel
training scheme that improve any pixel aligned implicit model ability to
reconstruct important human features without noisy artefacts. Lastly,
IntegratedPIFu presents a new architecture that, despite using less model
parameters than PIFuHD, is able to improves the structural correctness of
reconstructed meshes. Our results show that IntegratedPIFu significantly
outperforms existing state of the arts methods on single view human
reconstruction. Our code has been made available online.
