bike rack, these structures are recovered by finer resolutions
successfully. The ability to recover missing surfaces demon-
strates the advantages of our spatial hierarchy-free design.

Moreover, we note that flat surfaces are predicted at suf-
ficiently high resolutions (around Level 8 in this example).

Thus, only relying on the continuity of local cells of coarse
resolutions is not sufficient to reconstruct large continuous
surfaces. The result motivates the use of the numerical
gradients for the higher-order derivatives, such that back-
propagation is beyond local grid cells.
Neuralangelo- High-Fidelity Neural Surface Reconstruction