Depth-Induced Intra-to-Inter Transformer network for stereoscopic image retargeting
With the advancement of three-dimension visual applications, stereoscopic image editing technologies have attracted widespread popularity in both industry and entertainment. In this paper, we focus on the fundamental stereoscopic image content editing problem, i.e. stereoscopic image retargeting, wh...
Saved in:
| Main Authors: | Xiaoting Fan, Long Sun, Zhong Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000849 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review of Retargeting Methods and Assessment of Retargeted Image Objective Quality
by: MA Qian, DONG Wu, ZENG Qingtao, ZHANG Yan, LU Likun, ZHOU Ziyi
Published: (2025-02-01) -
High-Order and Interactive Perceptual Feature Learning for Medical Image Retargeting
by: Mingjuan Ma, et al.
Published: (2025-01-01) -
Revealing the Concealed in Monocular and Binocular Vision
by: Nicholas J. Wade
Published: (2025-06-01) -
A Generation Algorithm for “Text to Image” Based on Multi-Channel Attention
by: Yang Yang, et al.
Published: (2025-01-01) -
EnSLDe: an enhanced short-range and long-range dependent system for brain tumor classification
by: Wenna Chen, et al.
Published: (2025-04-01)