Correction by projection: Denoising images with generative adversarial networks
Generative adversarial networks (GANs) transform low-dimensional latent vectors into
visually plausible images. If the real dataset contains only clean images, then ostensibly, the …
visually plausible images. If the real dataset contains only clean images, then ostensibly, the …
Text2FashionGAN: Augmenting Personalized Style Recommendations with cGANs and Word2Vec
S Madhan, B Neha, S Neemkar… - 2023 7th …, 2023 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) have taken on a significant role in the fashion
industry, influencing how designers develop and how consumers interact with fashion. This …
industry, influencing how designers develop and how consumers interact with fashion. This …
Generating photorealistic images of people's eyes with strabismus using Deep Convolutional Generative Adversarial Networks
J Santos, I Frango - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Strabismus is a medical condition that affects about 4% of the world population. In severe
cases, strabismus can lead to blindness. Besides affecting the vision, the aesthetic appeal of …
cases, strabismus can lead to blindness. Besides affecting the vision, the aesthetic appeal of …
Inference from complex networks: Role of symmetry and applicability to images
E Capobianco - Frontiers in Applied Mathematics and Statistics, 2020 - frontiersin.org
Symmetry is a mathematical concept only partially explored in networks, especially at the
applicative level. One reason is a certain lack of interpretable inference obtained from …
applicative level. One reason is a certain lack of interpretable inference obtained from …
Geração e aplicação de imagens sintéticas da região dos olhos para o aumento de performance de técnicas da detecção do estrabismo
JS Santos - 2020 - dspace.mackenzie.br
RESUMO O Estrabismo é uma condição médica que afeta cerca de 4% da população
mundial. Em casos graves, o estrabismo pode levar à cegueira. Além de potencialmente …
mundial. Em casos graves, o estrabismo pode levar à cegueira. Além de potencialmente …
Synthetic Image Generation Using GANs: Generating Class Specific Images of Bacterial Growth
M Mattila - 2021 - diva-portal.org
Mastitis is the most common disease affecting Swedish milk cows. Automatic image
classification can be useful for quickly classifying the bacteria causing this inflammation, in …
classification can be useful for quickly classifying the bacteria causing this inflammation, in …
Personalized little black dress interaction design system based on DCGAN image generation module
Y Chen, L Chen, X Zeng - … and Robotics: Proceedings of the 14th …, 2020 - World Scientific
The DCGAN image generation module could be applied to personalized fashion custom
design, but how to generate more personalized fashion design is a very important problem …
design, but how to generate more personalized fashion design is a very important problem …
Handcrafting Generative Adversarial Networks for Fashion Design Generation
A Patro, VV Makkapati, J Mukhopadhyay - openreview.net
Natural images, particularly, those related to fashion exhibit structural coherence including
symmetry. This is also true for natural textures which comprise of a repeating periodic …
symmetry. This is also true for natural textures which comprise of a repeating periodic …
Evaluation of Loss Functions for Estimation of Latent Vectors from GAN
A Patro, V Makkapati… - 2018 IEEE 28th …, 2018 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) are being used to learn distributions of image data.
We attempt to estimate the latent vector that results in the best approximation of a real world …
We attempt to estimate the latent vector that results in the best approximation of a real world …