The Joy of Neural Painting

E Diaz-Aviles, C Orellana-Rodriguez… - arXiv preprint arXiv …, 2021 - arxiv.org
Neural Painters is a class of models that follows a GAN framework to generate brushstrokes,
which are then composed to create paintings. GANs are great generative models for AI Art …

Styleme: Towards intelligent fashion generation with designer style

D Wu, Z Yu, N Ma, J Jiang, Y Wang, G Zhou… - Proceedings of the …, 2023 - dl.acm.org
Hand-drawn sketches and sketch colourization are the most laborious but necessary steps
for fashion designers to design exquisite clothes, especially when the fashion design …

Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements

J Shi, H Zhang, D Zhou, Z Zhang - Proceedings of the 31st ACM …, 2023 - dl.acm.org
Traditional fashion design typically requires the expertise of designers, which limits the
involvement of ordinary users during the design process. While it would be desirable for …

[PDF][PDF] A new batik pattern generation method for creative photography using deep neural networks

E Syenne, SH Bae - 한국정보과학회학술발표논문집, 2019 - researchgate.net
Batik fabric is a cultural heritage identity in Indonesia with a uniquely recurring pattern. Man-
made abstract ideas in Batik design creatively create Batik pattern. In this work, we …

CLOTON: A GAN based approach for Clothing Try-On

S Pandey, Y Srivastava, Y Meena… - 2021 8th International …, 2021 - ieeexplore.ieee.org
Cloton is a framework that produces a picture of a person wearing the target clothing while
taking into account arbitrary body shapes and poses. As the generation of an individual …

[PDF][PDF] Innovative Batik NFTs Using Deep Neural Networks by Redefine Digital Art and Photography

YH Putra, R Wahdiniwaty, R Maulina - researchgate.net
Batik, a rich cultural heritage of Indonesia characterized by intricate and repetitive patterns,
presents a challenge for designers due to its complexity, especially when incorporating …

Fashioning with networks: Neural style transfer to design clothes

A Ganesan, T Oates - arXiv preprint arXiv:1707.09899, 2017 - arxiv.org
Convolutional Neural Networks have been highly successful in performing a host of
computer vision tasks such as object recognition, object detection, image segmentation and …

Innovative design of traditional calligraphy costume patterns based on deep learning

C Han, S Lei, W Mingming, R Xiangfang… - Journal of Physics …, 2021 - iopscience.iop.org
With the global homogenization of today's costume design, a new design phenomenon is
derived, that is, the globalization of regional ethnic traditional costume. Chinese traditional …

[PDF][PDF] Landscape Forms: Machine Learning, 3D Form and Figuration

P Nelson, RA Trillo, F Mouillot, D Shanken, M Antony… - 2021 - researchgate.net
It is hard to predict just how much Machine Learning will transform creative processes in the
arts and humanities. Improved denoising applications (Kaur, Singh, and Kaur, 2018) …

Using Artificial Intelligence for the Automation of Knitting Patterns

U Uboh - arXiv preprint arXiv:2309.11202, 2023 - arxiv.org
Knitting patterns are a crucial component in the creation and design of knitted materials.
Traditionally, these patterns were taught informally, but thanks to advancements in …