Fourier-CPPNs for image synthesis
M Tesfaldet, X Snelgrove… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Abstract Compositional Pattern Producing Networks (CPPNs) are differentiable networks
that independently map (x, y) pixel coordinates to (r, g, b) colour values. Recently, CPPNs …
that independently map (x, y) pixel coordinates to (r, g, b) colour values. Recently, CPPNs …
Exploring expression-based generative adversarial networks
Before the advent of Generative Adversarial Networks (GANs) in 2014, Evolutionary
Computation approaches made up the majority of the state of art for image generation. Such …
Computation approaches made up the majority of the state of art for image generation. Such …
Covariate-shift generative adversarial network and railway track image analysis
I Balogun, N Attoh-Okine - Journal of Transportation Engineering …, 2023 - ascelibrary.org
The acceptance of railway systems as a frontier transportation infrastructure can be
attributed to their reliability, safety, and support for green technology. With the recent …
attributed to their reliability, safety, and support for green technology. With the recent …
GP-based generative adversarial models
We explore the use of Artificial Neural Network (ANN)-guided Genetic Programming (GP) to
generate images that the guiding network classifies as belonging to a specific class. The …
generate images that the guiding network classifies as belonging to a specific class. The …
Synthetic epileptic brain activities with TripleGAN
M Xu, J Jie, W Zhou, H Zhou… - … and Mathematical Methods …, 2022 - Wiley Online Library
Epilepsy is a chronic noninfectious disease caused by sudden abnormal discharge of brain
neurons, which leads to intermittent brain dysfunction. It is also one of the most common …
neurons, which leads to intermittent brain dysfunction. It is also one of the most common …
Interactive, efficient and creative image generation using compositional pattern-producing networks
EG Ekern, B Gambäck - Artificial Intelligence in Music, Sound, Art and …, 2021 - Springer
In contrast to most recent models that generate an entire image at once, the paper
introduces a new architecture for generating images one pixel at a time using a …
introduces a new architecture for generating images one pixel at a time using a …
TGPGAN: towards expression-based generative adversarial networks
Before the advent of Generative Adversarial Networks (GANs), Evolutionary Computation
approaches made up the majority of the state of the art for image generation. Adversarial …
approaches made up the majority of the state of the art for image generation. Adversarial …
[图书][B] Railway track covariate shift formulation and analysis using machine learning techniques
I Balogun - 2022 - search.proquest.com
The railroad industry accounts for approximately 40% of intercity freight volume in the United
States-more than any other mode of transportation. Among the operational benefits of the …
States-more than any other mode of transportation. Among the operational benefits of the …