March 26, 2024, 4:49 a.m. | Lukas Radl, Michael Steiner, Andreas Kurz, Markus Steinberger

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.09913v2 Announce Type: replace
Abstract: 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 model parameters. Despite these challenges, recent research has shown first promising steps towards photorealistic and non-photorealistic appearance edits. The main open issues of related work include limited interactivity, a lack …

abstract arxiv cs.cv editing entanglement fields geometry however hybrid neural radiance fields parameters type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Scientist

@ ITE Management | New York City, United States