A source-position-dependent implicit neural representation for the directional weighting in a physics-constrained kernel enables sound field estimation that generalizes to unseen source positions without per-snapshot fine-tuning.
Sound field reconstruction in rooms: Inpainting meets super- resolution
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Learning-based Physics-Constrained Neural Kernel for Sound Field Estimation With Source-Position-Dependent Directional Weighting
A source-position-dependent implicit neural representation for the directional weighting in a physics-constrained kernel enables sound field estimation that generalizes to unseen source positions without per-snapshot fine-tuning.
- SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements