Generating High-Resolution Fashion Model Images Wearing Custom Outfits

08/23/2019
by   Gökhan Yildirim, et al.
0

Visualizing an outfit is an essential part of shopping for clothes. Due to the combinatorial aspect of combining fashion articles, the available images are limited to a pre-determined set of outfits. In this paper, we broaden these visualizations by generating high-resolution images of fashion models wearing a custom outfit under an input body pose. We show that our approach can not only transfer the style and the pose of one generated outfit to another, but also create realistic images of human bodies and garments.

READ FULL TEXT

page 1

page 3

page 4

research
07/31/2017

Fashioning with Networks: Neural Style Transfer to Design Clothes

Convolutional Neural Networks have been highly successful in performing ...
research
09/06/2018

Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks

We propose Progressive Structure-conditional Generative Adversarial Netw...
research
11/09/2022

ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation

Over the past few years, AI methods of generating images have been incre...
research
03/21/2023

GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI

We present a novel approach to synthesise high-resolution isotropic 3D a...
research
12/02/2019

Applying Knowledge Transfer for Water Body Segmentation in Peru

In this work, we present the application of convolutional neural network...
research
10/21/2019

DwNet: Dense warp-based network for pose-guided human video generation

Generation of realistic high-resolution videos of human subjects is a ch...
research
04/02/2023

Revisting high-resolution schemes with van-Albada slope limiter

Slope limiters play an essential in maintaining the non-oscillatory beha...

Please sign up or login with your details

Forgot password? Click here to reset