Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
A controlled benchmark of amortized neural representations on high-resolution (1 m/pixel) terrain elevation data, and HUVR+SIREN — a hypernetwork with a smooth, analytically differentiable decoder that attains the best height and derivative fidelity with no extra per-tile storage.
May 29, 2026
ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation
A follow-up to (CVPR 2024 INRV Workshop), advancing terrain INRs toward a compact, efficient neural terrain data format with wavelet-guided spatial adaptivity, derivative-aware supervision, and post-training compression.
May 21, 2026
A Parallel Scale-Space Method for Critical Features Tracking on Triangulated Irregular Networks
Published in ACM Transactions on Spatial Algorithms and Systems (TSAS). This is the extended journal version of our SIGSPATIAL'24 conference paper , with new contributions in scale-aware seam-free sampling (S3), improved TIN smoothing, and a fully parallel GPU implementation of critical point tracking.
May 8, 2026
Presentation of Scale Space for TINs @ ACM SIGSPATIAL2024
Oral presentation of our paper "Critical Features Tracking on Triangulated Irregular Networks by a Scale-Space Method" at the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Oct 29, 2024
Critical Features Tracking on Triangulated Irregular Networks by a Scale-Space Method
You can find the slides and a 15 mins presentation on the project page .
Sep 14, 2024
Presentation of ImplicitTerrain @ CVPR2024 INRV Workshop
We present our CVPR 2024 paper "ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis" at the 1st Workshop on Implicit Neural Representation for Vision
Jun 18, 2024
ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis
Please find the project page at .
Jun 18, 2024