Andreas Kurz — accepted AI-conference papers

2024

LAENeRF: Local Appearance Editing for Neural Radiance Fields

Lukas Radl, Michael Steiner, Andreas Kurz, Markus Steinberger

CVPR 2024poster

Due to the omnipresence of Neural Radiance Fields (NeRFs) the interest towards editable implicit 3D representations has surged over the last years. However editing implicit or hybrid representations as used for NeRFs is difficult due to the entanglement of appearance and geometry encoded in the mode…

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2022

AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields

Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger

ECCV 2022poster

"Novel view synthesis has recently been revolutionized by learning neural radiance fields directly from sparse observations. However, rendering images with this new paradigm is slow due to the fact that an accurate quadrature of the volume rendering equation requires a large number of samples for ea…

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