|
| | | | |
| | | |
| Stat |
Members: 3665
Articles: 2'599'751
Articles rated: 2609
19 January 2025 |
|
| | | | |
|
Article overview
| |
|
|
Lightweight Image Inpainting by Stripe Window Transformer with Joint Attention to CNN | | Tsung-Jung Liu
; Po-Wei Chen
; Kuan-Hsien Liu
; | | Date: |
2 Jan 2023 | | Abstract: | Image inpainting is an important task in computer vision. As admirable
methods are presented, the inpainted image is getting closer to reality.
However, the result is still not good enough in the reconstructed texture and
structure based on human vision. Although more and more larger models have been
proposed recently because of the advancement of computer hardware, we would
like to build a suitable model for personal use or small-sized institution.
Therefore, we propose a lightweight model that combines the special transformer
and the traditional convolutional neural network (CNN). Furthermore, we noticed
most researchers only consider three primary colors (RGB) in inpainted images,
but we think this is not enough so we propose a new loss function to intensify
color details. Extensive experiments on commonly seen datasets (Places2 and
CelebA) validate the efficacy of our proposed model compared with other
state-of-the-art methods.
Index Terms - HSV color space, image inpainting, joint attention mechanism,
stripe window, vision transformer | | Source: | arXiv, 2301.00553 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
|
| |
|
|
|
REGISTER