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@m-schuetz
m-schuetz authored Oct 19, 2021
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Expand Up @@ -10,8 +10,9 @@ This repository contains the source code to our paper: <br>

#### Applications

* __"ADOP: Approximate Differentiable One-Pixel Point Rendering"__, Darius Rückert, Linus Franke, Marc Stamminger, [arxiv](https://arxiv.org/abs/2110.06635) <br>
Uses compute-based point rasterization to efficiently generate a set of sparse neural images, which are the basis for a high-quality reconstruction of a novel view image.
* __"ADOP: Approximate Differentiable One-Pixel Point Rendering"__, Darius Rückert, Linus Franke, Marc Stamminger, <br>
Uses compute-based point rasterization to efficiently generate a set of sparse neural images, which are the basis for a high-quality reconstruction of a novel view image. <br>
[paper](https://arxiv.org/abs/2110.06635) - [video](https://www.youtube.com/watch?v=WJRyu1JUtVw) - [code](https://github.com/darglein/ADOP) <br>

# About the Framework

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