March 26, 2024, 4:47 a.m. | Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.16292v1 Announce Type: new
Abstract: We present latentSplat, a method to predict semantic Gaussians in a 3D latent space that can be splatted and decoded by a light-weight generative 2D architecture. Existing methods for generalizable 3D reconstruction either do not enable fast inference of high resolution novel views due to slow volume rendering, or are limited to interpolation of close input views, even in simpler settings with a single central object, where 360-degree generalization is possible. In this work, we …

3d reconstruction abstract architecture arxiv cs.cv generative inference light novel resolution semantic space type

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

Research Scientist, Demography and Survey Science, University Grad

@ Meta | Menlo Park, CA | New York City

Computer Vision Engineer, XR

@ Meta | Burlingame, CA