… text descriptions. In this work, we propose a tool called PixelBrush that generates artwork
from text … Also, we evaluated the performance of our model and existing models on generating …

… To address this problem, in this paper, we propose a Dynamic Aspect-awarE GAN (DAE-GAN)
that represents text information … Pixelbrush: Art generation from text with gans. In Cl. Proj. …

… generation process. We thereby propose a novel Dynamical Semantic Evolution GAN (DSE-GAN)
to re-compose each stage’s text … potential applications, such as art generation[52] and …

… Pixel Brush conducts training for each model on the Oxford … Most of these studies apply GAN
to synthesize images that … The results of this study also show that with the GAN method used…

… as the baseline model, studied Stack GAN consisting of two-stage GANS step-by-step in this
… PixelBrush, a tool proposed by Zhi Jiale [10] for art generation from a text description. It uses …

… So not to allow these artistic skills to be faded away in the course of time, so in this project a
DC-GAN model is created which will inherit all the artistic skills our ancestors had by training …

… The study of GAN art generation has previously employed a wide range of methodologies
and ideas. Many researchers have explored a range of techniques, all of which contribute …

… MFAE-GAN is competitive in terms of both image generation … -granularity Feature Aware
Enhancement GAN (MFAE-GAN) to make … being initialized during the generation process. MFAE-…

… We also propose a text-image consistency loss to … text. Qualitative and quantitative
experimental results on two benchmark datasets show that GMF-GAN outperforms the state-of-the-art …

… image according to the given text descriptions. Due to the … such as art generation [31] and
computer-aided design [1], text-to… HDR-GAN consists of three parts: 1) Initial Image Generation …