18 citations · 31 across the 8 of their papers we have counts for
8 papers
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…
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc +4
A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and appearance of a scene. We here ask the question whether we can transfer the appearance from a source…
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…
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics
Michael Fischer, Tobias Ritschel
Gradient-based optimization is now ubiquitous across graphics, but unfortunately can not be applied to problems with undefined or zero gradients. To circumvent this issue, the loss…
Plateau-reduced Differentiable Path Tracing
Michael Fischer, Tobias Ritschel
Current differentiable renderers provide light transport gradients with respect to arbitrary scene parameters. However, the mere existence of these gradients does not guarantee use…
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…
NICER: Aesthetic Image Enhancement with Humans in the Loop
Michael Fischer, Konstantin Kobs, Andreas Hotho
Fully- or semi-automatic image enhancement software helps users to increase the visual appeal of photos and does not require in-depth knowledge of manual image editing. However, fu…