LAENeRF: Local Appearance Editing for Neural Radiance Fields

no code implementations • 15 Dec 2023 • Lukas Radl, Michael Steiner, Andreas Kurz, Markus Steinberger

We address these limitations with LAENeRF, a unified framework for photorealistic and non-photorealistic appearance editing of NeRFs.

Analyzing the Internals of Neural Radiance Fields

1 code implementation • 1 Jun 2023 • Lukas Radl, Andreas Kurz, Michael Steiner, Markus Steinberger

Modern Neural Radiance Fields (NeRFs) learn a mapping from position to volumetric density leveraging proposal network samplers.

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

1 code implementation • 21 Jul 2022 • Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger

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 each ray.

Novel View Synthesis

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks

1 code implementation • 4 Mar 2021 • Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H. Mueller, Chakravarty R. Alla Chaitanya, Anton Kaplanyan, Markus Steinberger

In this work, we bring compact neural representations closer to practical rendering of synthetic content in real-time applications, such as games and virtual reality.