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Bernhard Kerbl

2 accepted papers

2025

OMG: Opacity Matters in Material Modeling with Gaussian Splatting

ICLR 2025poster

Decomposing geometry, materials and lighting from a set of images, namely inverse rendering, has been a long-standing problem in computer vision and graphics. Recent advances in neural rendering enable photo-realistic and plausible inverse rendering results. The emergence of 3D Gaussian Splatting ha…

Cited by 0SourcePDFScholar
2022

Gaussian Mixture Convolution Networks

ICLR 2022poster

This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures. In contrast to tensors, these do not suffer from the curse of dimensionality and allow for a compact representation, as data is only stored where details exist. Convolution…