all AI news
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers. (arXiv:2203.10157v2 [cs.CV] UPDATED)
July 22, 2022, 1:11 a.m. | Jonáš Kulhánek, Erik Derner, Torsten Sattler, Robert Babuška
cs.LG updates on arXiv.org arxiv.org
Novel view synthesis is a long-standing problem. In this work, we consider a
variant of the problem where we are given only a few context views sparsely
covering a scene or an object. The goal is to predict novel viewpoints in the
scene, which requires learning priors. The current state of the art is based on
Neural Radiance Field (NeRF), and while achieving impressive results, the
methods suffer from long training times as they require evaluating millions of
3D point …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
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
AIML - Sr Machine Learning Engineer, Data and ML Innovation
@ Apple | Seattle, WA, United States
Senior Data Engineer
@ Palta | Palta Cyprus, Palta Warsaw, Palta remote