Follow-up works extend the above approaches to real-
time at the cost of surface fidelity [18, 37], while oth-
ers [3, 5, 44] use auxiliary information to enhance the re-
construction results. Notably, NeuralWarp [3] uses patch
warping given co-visibility information from structure-from-
motion (Sf M) to guide surface optimization, but the patch-
wise planar assumption fails to capture highly-varying sur-
faces [3]. Other methods [5, 45] utilize sparse point clouds
from Sf M to supervise the SDF, but their performances are
upper-bounded by the quality of the point clouds, as with
Neuralangelo- High-Fidelity Neural Surface Reconstruction