18 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
Feature-Guided Diffusion for Non-Differentiable Inverse Rendering
Andrei-Timotei Ardelean, Michael Fischer, Tim Weyrich +1
Inverse rendering is traditionally solved via differentiable renderers and gradient descent, which requires substantial problem-specific engineering and is prone to getting stuck i…
Neural Bounding
Stephanie Wenxin Liu, Michael Fischer, Paul D. Yoo +1
Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception. In this work, we study the use of neural…
Learning to Learn and Sample BRDFs
Chen Liu, Michael Fischer, Tobias Ritschel
We propose a method to accelerate the joint process of physically acquiring and learning neural Bi-directional Reflectance Distribution Function (BRDF) models. While BRDF learning…
Metappearance: Meta-Learning for Visual Appearance Reproduction
Michael Fischer, Tobias Ritschel
There currently exist two main approaches to reproducing visual appearance using Machine Learning (ML): The first is training models that generalize over different instances of a p…