3 papers
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.LG2026
ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation
Haoan Feng, Xin Xu, Leila De Floriani
Digital elevation models (DEMs) underpin terrain analysis in Geographic Information Systems (GIS), but commonly as raster representation, they rely on interpolation for off-grid sa…
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…