Fast and Efficient Image Generation Using Variational Autoencoders and K-Nearest Neighbor OveRsampling Approach

Fast and Efficient Image Generation Using Variational Autoencoders and K-Nearest Neighbor OveRsampling Approach

Researchers gravitate towards Generative Adversarial Networks (GAN) to create artificial images. However, GANs suffer from convergence issues, mode collapse, and overall complexity in balancing the Nash Equilibrium. Images generated are often distorted, rendering them useless. We propose a combinati...

Full description

Bibliographic Details
Main Authors: Ashhadul Islam, Samir Brahim Belhaouari
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Face recognition
variational autoencoders
generative adversarial networks
image reconstruction
artificial image creation
Online Access:https://ieeexplore.ieee.org/document/10076456/

Internet

https://ieeexplore.ieee.org/document/10076456/

Similar Items