Micro-Cells Enabling Spatio-Angular Joint Attention for High-Resolution Light Field Editingopen access
- Authors
- Kim, Gwon-Jung; Rhee, 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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