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Micro-Cells Enabling Spatio-Angular Joint Attention for High-Resolution Light Field Editingopen access

Authors
Kim, Gwon-JungRhee, Chae Eun
Issue Date
Nov-2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Geometry; Spatial resolution; Image resolution; Transformers; Light fields; Three-dimensional displays; Scalability; Media; Image color analysis; Deep learning; attention mechanisms; image synthesis; image reconstruction
Citation
IEEE Access, v.12, pp 175817 - 175828
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
IEEE Access
Volume
12
Start Page
175817
End Page
175828
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/204231
DOI
10.1109/ACCESS.2024.3504730
ISSN
2169-3536
2169-3536
Abstract
Light Field (LF) processing is a critical step in advancing immersive experiences beyond two-dimensional (2D) images. While LF-based technology facilitates a smooth transition from 2D to three-dimensional (3D) media, processing LFs composed of numerous images remains challenging. Most existing research has provided only limited processing capabilities for low-resolution LFs. For instance, LF editing typically offers basic functions like color changes and object removal. This paper proposes micro-cell-based processing for spatially and angularly large-scale LFs. By partitioning and rearranging the LF into micro-cells, which are then used as input for a vision transformer (ViT), we enable spatio-angular joint attention that significantly enhances performance. The local attention applied to small-sized micro-cells allows for high-resolution LF processing without excessive computational costs. This paper utilizes this combination of micro-cells and the ViT for LF editing applications. Experimental results demonstrate that the proposed LF editing system delivers exceptional performance both quantitatively and qualitatively, enabling high-resolution LF processing with a variety of editing functions.
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