Spatial Interpolation
15 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Spatial Interpolation
Most implemented papers
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation
We also extend our method to estimate covariance functions for point-referenced data.
Kriging Convolutional Networks
Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends.
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
jlidw/ssin
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Inspired by the Cloze task and BERT, we fully consider the characteristics of spatial interpolation and design the SpaFormer model based on the Transformer architecture as the core of SSIN.
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization
merlresearch/neural-iir-field
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Existing NF-based methods focused on estimating the magnitude of the HRTF from a given sound source direction, and the magnitude is converted to a finite impulse response (FIR) filter.
AID: Attention Interpolation of Text-to-Image Diffusion
qy-h00/attention-interpolation-diffusion
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To that end, we introduce a novel training-free technique named Attention Interpolation via Diffusion (AID).
