Blending Output from Generative Adversarial Networks to Texture High-Resolution 2D Town Maps for Roleplaying Games
- Computer Science2021 IEEE Conference on Games (CoG)
The task of producing contiguous colour data - namely adjacent parts of the same image, not textures - has not been attempted before in literature related to generative machine learning techniques, because it would allow large images to be processed in smaller parts, hence removing the architectural maximum to the output resolution that can be achieved by the network.
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing
- Computer ScienceArXiv
The Arbitrary Virtual Try-On Network (AVTON) is proposed, which can synthesize realistic try-on images by preserving and trading off characteristics of the target clothes and the reference person and can achieve better performance compared with the state-of-the-art virtual try- on methods.
Extreme Face Inpainting with Sketch-Guided Conditional GAN
- Computer ScienceComputational Imaging
This work proposes a conditional Generative Adversarial Network (GAN) that utilizes structural information, such as edges, as a prior condition, and demonstrates the effectiveness of the method with badly damaged face examples.
NL-VTON: a non-local virtual try-on network with feature preserving of body and clothes
- Computer ScienceScientific reports
A non-local virtual try-on network NL-VTON is proposed that introduces a non- local feature attention module and a grid regularization loss so as to capture detailed features of complex clothes, and design a human body segmentation prediction network to further alleviate the artifacts on occlusion regions.
Readily Design and Try-On Garments by Manipulating Segmentation Images
- Computer Science, Art
A new apparel image is created using a generative model that can apply a new style to a desired area in a segmented image and creates a new fashion image by manipulating the segmentation image.
Face Manipulation with Generative Adversarial Network
- Computer Science
This paper finds that the GAN-based face manipulation with generative adversarial network can be very useful for recovering masked face and further improving face recognition accuracy.
fAshIon after fashion: A Report of AI in Fashion
It is shown that many potential opportunities exist for the use of AI in fashion which can transform the fashion industry embedded with AI technologies and boost profits.
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry
- Computer ScienceArXiv
A structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously.
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation
- Computer ScienceACM Transactions on Information Systems
The objective is to find a 1-neighbor subset of fashion items as a capsule wardrobe that jointly maximize compatibility and versatility scores by considering corresponding user-specified preference weight coefficients and an overall shopping budget as a means of achieving personalization.
Big Data driven Product Design: A Survey
- Computer ScienceArXiv
A comprehensive survey on big data driven product design to help researchers and practitioners to comprehend the latest development of relevant studies and applications centered on how big data can be processed, analyzed, and exploited in aiding product design.
SHOWING 1-10 OF 37 REFERENCES
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
- Computer ScienceNeurIPS
Human perceptual studies and quantitative evaluations demonstrate the superiority of the Warping-GAN that significantly outperforms all existing methods on two large datasets and is light-weight and flexible enough to be injected into any networks.
VITON: An Image-Based Virtual Try-on Network
- Computer Science2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
We present an image-based VIirtual Try-On Network (VITON) without using 3D information in any form, which seamlessly transfers a desired clothing item onto the corresponding region of a person using…
Improved Techniques for Training GANs
- Computer ScienceNIPS
This work focuses on two applications of GANs: semi-supervised learning, and the generation of images that humans find visually realistic, and presents ImageNet samples with unprecedented resolution and shows that the methods enable the model to learn recognizable features of ImageNet classes.
Towards Multi-Pose Guided Virtual Try-On Network
- Computer Science2019 IEEE/CVF International Conference on Computer Vision (ICCV)
This paper makes the first attempt towards a multi-pose guided virtual try-on system, which enables clothes to transfer onto a person with diverse poses, and significantly outperforms all state-of-the-art methods both qualitatively and quantitatively.
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- Computer ScienceECCV
This work considers image transformation problems, and proposes the use of perceptual loss functions for training feed-forward networks for image transformation tasks, and shows results on image style transfer, where aFeed-forward network is trained to solve the optimization problem proposed by Gatys et al. in real-time.
FashionOn: Semantic-guided Image-based Virtual Try-on with Detailed Human and Clothing Information
- Computer ScienceACM Multimedia
A novel FashionOn network to synthesize user images fitting different clothes in arbitrary poses to provide comprehensive information about how suitable the clothes are is proposed, which achieves the state-of-the-art virtual try-on performance both qualitatively and quantitatively.
The Conditional Analogy GAN: Swapping Fashion Articles on People Images
- Computer Science2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
We present a novel method to solve image analogy problems : it allows to learn the relation between paired images present in training data, and then generalize and generate images that correspond…
Toward Characteristic-Preserving Image-based Virtual Try-On Network
- Computer ScienceECCV
A new fully-learnable Characteristic-Preserving Virtual Try-On Network (CP-VTON) for addressing all real-world challenges in this task, and achieves the state-of-the-art virtual try-on performance both qualitatively and quantitatively.
A Generative Model of People in Clothing
- Computer Science2017 IEEE International Conference on Computer Vision (ICCV)
The first image-based generative model of people in clothing for the full body is presented, which sidestep the commonly used complex graphics rendering pipeline and the need for high-quality 3D scans of dressed people and is learned from a large image database.
A Style-Based Generator Architecture for Generative Adversarial Networks
- Computer Science2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
An alternative generator architecture for generative adversarial networks is proposed, borrowing from style transfer literature, that improves the state-of-the-art in terms of traditional distribution quality metrics, leads to demonstrably better interpolation properties, and also better disentangles the latent factors of variation.