A Systematic Review on Generative Adversarial Network (GAN): Challenges and Future Directions
Generative adversarial network, in short GAN, is a new convolution neural network (CNN)
based framework with the great potential to determine high dimensional data from its …
based framework with the great potential to determine high dimensional data from its …
Reconstruction of sub‐mm 3D pavement images using recursive generative adversarial network for faster texture measurement
It is challenging to collect 3D pavement images with desired resolution for accurate texture
measurement at driving speeds with current devices, particularly in the longitudinal …
measurement at driving speeds with current devices, particularly in the longitudinal …
Conditional-GAN-based face inpainting approaches with symmetry and view-degree utilization
TP Hong, JH Wu, JH Su, TK Yin - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, image inpainting has been proposed as a solution for restoring the polluted image
in the field of computer vision. Further, face inpainting is a subfield of image inpainting …
in the field of computer vision. Further, face inpainting is a subfield of image inpainting …
Enhancing Image Quality with GAN Super Resolution Evaluation
S Kumari, R Jha, A Ray, S Bilgaiyan… - … on Electronics and …, 2024 - ieeexplore.ieee.org
The present study presents a novel approach to enhance the quality of celebrity photos by
utilizing an innovative framework known as Profile SR-GAN. The aim is to increase the …
utilizing an innovative framework known as Profile SR-GAN. The aim is to increase the …
Batik Style Transfer into Fractal Shape
BH Lifindra, D Herumurti… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Image style transfer is a technique that blends the features of two images. The application of
neural style transfer extends to Indonesian batik. Previous studies worked on creating new …
neural style transfer extends to Indonesian batik. Previous studies worked on creating new …
Effective Face Inpainting by Conditional Generative Adversarial Network
TP Hong, JH Wu, JH Su, TK Yin - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In the paper, we propose a two-stage face-inpainting approach based on conditional
generative adversarial networks. In the first stage, a deep-learning model is trained for …
generative adversarial networks. In the first stage, a deep-learning model is trained for …
Face image super resolution using a generative adversarial network
K Varma, GS Reddy… - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
Traditional image super resolution centered around purely mathematical models are
capable of creating gradient based textures, but fail to render the specific lineaments that …
capable of creating gradient based textures, but fail to render the specific lineaments that …