학술논문

An Augmented Reality-based Fashion Design Interface with Artistic Contents Generated Using Deep Generative Models
Document Type
Conference
Source
2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer) Advances in ICT for Emerging Regions (ICTer), 2022 22nd International Conference on. :104-109 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Human computer interaction
Visualization
Pandemics
Prototypes
Graphics processing units
Human factors
Generative adversarial networks
Augmented Reality
Media Pipe
Deep Generative Models
Generative Adversarial Networks
Control GANs
Fashion Designs
Language
ISSN
2472-7598
Abstract
Fashion design is an art that reshapes the designers’ imagination into visible content which requires a significant amount of time and effort. The assistance provided by the available design tools are limited in the sense of visualizing and fitting of the generated cloth on the human body. We present, ARGAN-an Augmented Reality (AR) based Fashion Design system which is able to generate a new dress when a sketch and a theme image are provided as the input into a Controllable Generative Adversarial Network. Further, this system can visualize the generated virtual 2D apparel in realtime on a real human body using Augmented Reality. To the best of our knowledge, this work is the first attempt at utilizing Deep Generative Models (e.g. GANs) in an Augmented Reality prototype in fashion designing for generate creative fashion content in 2D and exploiting the possibility of Deep Generative Models to generate fashion designs align to a theme. Our findings show that the use of the ARGAN can support fashion designers’ during their designing process.