MISO uses learned multiresolution submap initialization and feature-space submap alignment to make neural SDF SLAM substantially faster while keeping reconstruction accuracy competitive.
Neural fields in visual computing and beyond,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction
MISO uses learned multiresolution submap initialization and feature-space submap alignment to make neural SDF SLAM substantially faster while keeping reconstruction accuracy competitive.