BachiLi/redner

Differentiable rendering without approximation.

NASLPythonC++CCMakeDockerfileOthercomputer-visiontensorflowrenderingcomputer-graphicspytorchmonte-carlo-ray-tracingdifferentiable-rendering
This is stars and forks stats for /BachiLi/redner repository. As of 28 Apr, 2024 this repository has 1320 stars and 133 forks.

redner: Differentiable rendering without approximation redner is a differentiable renderer that can take the derivatives of rendering outputs with respect to arbitrary scene parameters, that is, you can backpropagate from the image to your 3D scene. One of the major usages of redner is inverse rendering (hence the name redner) through gradient descent. What sets redner apart are: 1) it computes correct rendering gradients stochastically without any approximation by properly considering the discontinuities,...
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