GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction. (arXiv:2206.14735v1 [cs.CV])

We present GO-Surf, a direct feature grid optimization method for accurate
and fast surface reconstruction from RGB-D sequences. We model the underlying
scene with a learned hierarchical feature voxel grid that encapsulates
multi-level geometric and appearance local information. Feature vectors are
directly optimized such that after being tri-linearly interpolated, decoded by
two shallow MLPs into signed distance and radiance values, and rendered via
surface volume rendering, the discrepancy between synthesized and observed
RGB/depth values is minimized. Our supervision signals -- …

arxiv cv feature fidelity go optimization