all AI news
SNeRF: Stylized Neural Implicit Representations for 3D Scenes. (arXiv:2207.02363v1 [cs.CV])
July 7, 2022, 1:12 a.m. | Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
cs.CV updates on arXiv.org arxiv.org
This paper presents a stylized novel view synthesis method. Applying
state-of-the-art stylization methods to novel views frame by frame often causes
jittering artifacts due to the lack of cross-view consistency. Therefore, this
paper investigates 3D scene stylization that provides a strong inductive bias
for consistent novel view synthesis. Specifically, we adopt the emerging neural
radiance fields (NeRF) as our choice of 3D scene representation for their
capability to render high-quality novel views for a variety of scenes. However,
as rendering …
More from arxiv.org / cs.CV 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
Senior Business Intelligence Developer / Analyst
@ Transamerica | Work From Home, USA
Data Analyst (All Levels)
@ Noblis | Bethesda, MD, United States