all AI news
GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal
April 23, 2024, 4:46 a.m. | Yuxin Wang, Qianyi Wu, Guofeng Zhang, Dan Xu
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper tackles the intricate challenge of object removal to update the radiance field using the 3D Gaussian Splatting. The main challenges of this task lie in the preservation of geometric consistency and the maintenance of texture coherence in the presence of the substantial discrete nature of Gaussian primitives. We introduce a robust framework specifically designed to overcome these obstacles. The key insight of our approach is the enhancement of information exchange among visible and …
abstract arxiv challenge challenges consistent cs.cv feature geometry maintenance object paper preservation texture type update
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
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
Data Science Analyst
@ Mayo Clinic | AZ, United States
Sr. Data Scientist (Network Engineering)
@ SpaceX | Redmond, WA