一、介绍虽然渲染本质上是可微分的,但在从等式到算法的过渡中可能难以保持此属性。例如,将自动微分(AD)直接应用于渲染算法通常不会产生可用的梯度。需要特殊处理的参数包括三角形网格顶点和影响隐式定义曲面的…
(Signed) Distance Function/(有向)距离场可用于隐式表面表达,有粒度小、附带额外几何信息等优点,游戏中常用于体积云、碰撞检测等。本文主要介绍图形学中用于渲染的 SDF 采样方法。 1. Preliminary 图形学中 SDF 常被定义为: |f(x)|=infy∈Ω‖x−y‖, x∈Rn,Ω 为构成所有曲面的点集,当 x 在表面内部...
efficiencyandcom- pressioncapabilities.Inthiswork,weintroduceDeepSDF, alearnedcontinuousSignedDistanceFunction(SDF)rep- resentationofaclassofshapesthatenableshighqual- ityshaperepresentation,interpolationandcompletionfrom partialandnoisy3Dinputdata.DeepSDF,likeitsclas- sicalcounterpart,representsashape’ssurfaceby...
In mathematics and applications, the signed distance function of a set Ω in a metric space, also called the oriented distance function, determines the distance of a given point x from the boundary of Ω, with the sign determined by whether x is in Ω. The function has positive values at ...
论文简记 | DeepSDF模型解读《DeepSDF : Learning Continuous Signed Distance Functions for Shape Representation》 一 写在前面 未经允许,不得转载,谢谢~~~ 这篇文章还是3维重建的,今年CVPR出现了很多相关的文章。 文章出处:CVPR2019 原文链接:https://arxiv.org/abs/1901.05103?context=cs.CV...
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We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance function. Due to the nature of the implicit function, the rendering process requires tremendous func...
3D 论文阅读SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images,程序员大本营,技术文章内容聚合第一站。
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks We propose a new method, dubbed One Class Signed Distance Function (OCSDF), to perform One Class Classification (OCC) by provably learning the Signed Dista... L Bethune,P Novello,T Boissin,... 被...
We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance function. Due to the nature of the implicit function, the rendering process requires tremendous function queries, which is particul...