Original paper
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
Pages: 2016 - 2025
Published: Jun 1, 2020
Abstract
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 particularly problematic when the function is represented as a neural network. We optimize both the forward and backward pass of our rendering layer to...
Paper Details
Title
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
Published Date
Jun 1, 2020
Pages
2016 - 2025