Deepfake generation and detection: A benchmark and survey
Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …
under specific conditions, which has significant application potential in fields such as …
Review of Deep Learning-Based Image Inpainting Techniques
J Yang, NIR Ruhaiyem - IEEE Access, 2024 - ieeexplore.ieee.org
The deep learning-based image inpainting models discussed in this review are critical
image processing techniques for filling in missing or removed regions in static planar …
image processing techniques for filling in missing or removed regions in static planar …
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions
Image inpainting is currently a hot topic within the field of computer vision. It offers a viable
solution for various applications, including photographic restoration, video editing, and …
solution for various applications, including photographic restoration, video editing, and …
An adaptive global-local interactive non-local boosting network for mixed noise removal
Mixed noise removal is a challenging task for image interpretation due to the complexity of
mixed noise distribution. Benefiting from the superior multiple nonlinear transformations …
mixed noise distribution. Benefiting from the superior multiple nonlinear transformations …
Self-Supervised pre-training model based on Multi-view for MOOC Recommendation
R Tian, J Cai, C Li, J Wang - Expert Systems with Applications, 2024 - Elsevier
Recommendation strategies based on concepts of knowledge are gradually applied to
personalized course recommendation to promote model learning from implicit feedback …
personalized course recommendation to promote model learning from implicit feedback …
[PDF][PDF] Swin-FER: Swin Transformer for Facial Expression Recognition.
M Bie, H Xu, Y Gao, K Song… - Applied Sciences (2076 …, 2024 - pdfs.semanticscholar.org
The ability of transformers to capture global context information is highly beneficial for
recognizing subtle differences in facial expressions. However, compared to convolutional …
recognizing subtle differences in facial expressions. However, compared to convolutional …
Color Face Image Generation with Improved Generative Adversarial Networks
YH Chang, PH Chung, YH Chai, HW Lin - Electronics, 2024 - mdpi.com
This paper focuses on the development of an improved Generative Adversarial Network
(GAN) specifically designed for generating color portraits from sketches. The construction of …
(GAN) specifically designed for generating color portraits from sketches. The construction of …
[HTML][HTML] An End-to-End Generation Model for Chinese Calligraphy Characters Based on Dense Blocks and Capsule Network
W Zhang, Z Sun, X Wu - Electronics, 2024 - mdpi.com
Chinese calligraphy is a significant aspect of traditional culture, as it involves the art of
writing Chinese characters. Despite the development of numerous deep learning models for …
writing Chinese characters. Despite the development of numerous deep learning models for …
Context-aware mutual learning for blind image inpainting and beyond
H Zhao, Y Wang, Z Gu, B Zheng, H Zheng - Expert Systems with …, 2024 - Elsevier
Blind image inpainting, aiming to recover contaminated images in the case of unknown
masks, is a challenging task. Motivated by the perspective of human vision and knowledge …
masks, is a challenging task. Motivated by the perspective of human vision and knowledge …
Tripartite‐structure transformer for hyperspectral image classification
L Wan, M Zhou, S Jiang, Z Bai… - Computational …, 2024 - Wiley Online Library
Hyperspectral images contain rich spatial and spectral information, which provides a strong
basis for distinguishing different land‐cover objects. Therefore, hyperspectral image (HSI) …
basis for distinguishing different land‐cover objects. Therefore, hyperspectral image (HSI) …