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cs.CV2026
Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
Haoan Feng, Xin Xu, Leila De Floriani
Implicit neural representations (INRs) model a signal as a continuous coordinate-to-value function. For terrain elevation data, this supports analytic derivatives, arbitrary-resolu…
cs.CV2026
SASNet: Spatially-Adaptive Sinusoidal Networks for INRs
Haoan Feng, Diana Aldana, Tiago Novello +1
Sinusoidal neural networks (SIRENs) are powerful implicit neural representations (INRs) for low-dimensional signals in vision and graphics. By encoding input coordinates with sinus…
cs.CV2024
ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis
Haoan Feng, Xin Xu, Leila De Floriani
Digital terrain models (DTMs) are pivotal in remote sensing, cartography, and landscape management, requiring accurate surface representation and topological information restoratio…