May 2, 2024, 4:45 a.m. | Zidong Cao, Zhan Wang, Yexin Liu, Yan-Pei Cao, Ying Shan, Wei Zeng, Lin Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.00351v1 Announce Type: cross
Abstract: Viewing omnidirectional images (ODIs) in virtual reality (VR) represents a novel form of media that provides immersive experiences for users to navigate and interact with digital content. Nonetheless, this sense of immersion can be greatly compromised by a blur effect that masks details and hampers the user's ability to engage with objects of interest. In this paper, we present a novel system, called OmniVR, designed to enhance visual clarity during VR navigation. Our system enables …

abstract arxiv cs.ai cs.cv cs.hc cs.mm digital digital content form images immersive masks media navigation novel quality reality sense type virtual virtual reality

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US