[PDF][PDF] Pixelbrush: Art generation from text with gans
J Zhi - Cl. Proj. Stanford CS231N Convolutional Neural …, 2017 - vision.stanford.edu
… 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 …
from text … Also, we evaluated the performance of our model and existing models on generating …
Dae-gan: Dynamic aspect-aware gan for text-to-image synthesis
… 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. …
that represents text information … Pixelbrush: Art generation from text with gans. In Cl. Proj. …
Dse-gan: Dynamic semantic evolution generative adversarial network for text-to-image generation
… 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 …
to re-compose each stage’s text … potential applications, such as art generation[52] and …
Making a batik dataset for text to image synthesis using generative adversarial networks
AN Amalia, AF Huda, DR Ramdania… - 2019 IEEE 5th …, 2019 - ieeexplore.ieee.org
… 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…
to synthesize images that … The results of this study also show that with the GAN method used…
[PDF][PDF] IMAGE GENERATION FROM CAPTION
M Pandya, S Rami - academia.edu
… 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 …
… PixelBrush, a tool proposed by Zhi Jiale [10] for art generation from a text description. It uses …
[图书][B] Sculpture Generation Using Generative Adversarial Network
JSA Kareem, M Subramaniam, SA Nainar - 2019 - researchgate.net
… 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 …
DC-GAN model is created which will inherit all the artistic skills our ancestors had by training …
Generative Adversarial Network Art Generator for Sculpture Analysis
SS Kalita, P Mahajan… - … , Computing and Internet of …, 2024 - ieeexplore.ieee.org
… 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 …
and ideas. Many researchers have explored a range of techniques, all of which contribute …
Text to image synthesis with multi-granularity feature aware enhancement Generative Adversarial Networks
P Dong, L Wu, R Li, X Meng, L Meng - Computer Vision and Image …, 2024 - Elsevier
… 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-…
Enhancement GAN (MFAE-GAN) to make … being initialized during the generation process. MFAE-…
GMF-GAN: Gradual multi-granularity semantic fusion GAN for text-to-image synthesis
D Jin, G Li, Q Yu, L Yu, J Cui, M Qi - Digital Signal Processing, 2023 - Elsevier
… 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 …
experimental results on two benchmark datasets show that GMF-GAN outperforms the state-of-the-art …
Disentangled representations and hierarchical refinement of multi-granularity features for text-to-image synthesis
P Dong, L Wu, L Meng, X Meng - Proceedings of the 2022 International …, 2022 - dl.acm.org
… 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 …
computer-aided design [1], text-to… HDR-GAN consists of three parts: 1) Initial Image Generation …