Web: http://arxiv.org/abs/2206.07695

June 20, 2022, 1:13 a.m. | Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger

cs.CV updates on arXiv.org arxiv.org

State-of-the-art 3D-aware generative models rely on coordinate-based MLPs to
parameterize 3D radiance fields. While demonstrating impressive results,
querying an MLP for every sample along each ray leads to slow rendering.
Therefore, existing approaches often render low-resolution feature maps and
process them with an upsampling network to obtain the final image. Albeit
efficient, neural rendering often entangles viewpoint and content such that
changing the camera pose results in unwanted changes of geometry or appearance.
Motivated by recent results in voxel-based novel …

3d arxiv cv image voxel

More from arxiv.org / cs.CV updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY