Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces (ICML 2021) This repository contains the official pytorch version code for the paper.

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. You can find detailed usage instructions for training your own models and using pretrained ...

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Point spread function (PSF) is quite important in modern computational microscopy techniques. Various approaches for measuring and modeling point spread functions have been proposed for both ...

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A point-spread function (PSF) is able to describe the spatial characteristics of a remote sensing optical imaging instrument (i.e., camera). Specifically, the PSF of a camera characterizes the image ...

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