English

Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing

Computer Vision and Pattern Recognition 2023-10-24 v1 Machine Learning Networking and Internet Architecture

Abstract

Diminished Reality (DR) is considered as the conceptual counterpart to Augmented Reality (AR), and has recently gained increasing attention from both industry and academia. Unlike AR which adds virtual objects to the real world, DR allows users to remove physical content from the real world. When combined with object replacement technology, it presents an further exciting avenue for exploration within the metaverse. Although a few researches have been conducted on the intersection of object substitution and DR, there is no real-time object substitution for mobile diminished reality architecture with high quality. In this paper, we propose an end-to-end architecture to facilitate immersive and real-time scene construction for mobile devices with edge computing.

Keywords

Cite

@article{arxiv.2310.14511,
  title  = {Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing},
  author = {Hongyu Ke and Haoxin Wang},
  journal= {arXiv preprint arXiv:2310.14511},
  year   = {2023}
}
R2 v1 2026-06-28T12:58:21.589Z