Virtual try-ons of garments enabling novel human fashion interactions

Livrables

This report will specify the experience scenarios user requirements and platformsimulations functional requirements derived from the input received from the use case partners

Pilot plan and evaluation plan

Report describing the plans for testing evaluating the eTryOn platform in pilots The report defines the stakeholders to be involved in each pilot as well as the pilot operation requirements the testing and evaluation protocols the evaluation criteria the tools for collecting user feedback etc

Pilot evaluation report

Report describing the end user tests of trying virtual garments in comparison to physical garments and qualitative evaluations of such by studies of imagesphotos in juxtaposition

Ethical, legal and privacy requirements and guidelines for implementation

Report on ethical legal and privacy requirements of eTryOn and provision of guidelines for ethics privacybydesign technology development

Ethical, legal and privacy requirements and guidelines for implementation (upd)

Updated report on ethical legal and privacy requirements of eTryOn enabling the pilots

Architecture and integration Protocol

A set of architectural diagrams covering i the structure and specification of the software components and ii important interaction sequences envisaged for the pilots Integration protocols described through API and data format definitions

First working version of the avatar-garment simulation software

In this deliverable the basic working version will be provided in order to be used for iterative testing

Core functionalities of the mobile application and software for the self-scanning applications

In this deliverable the core abstract classes and functionalities with existing software and avatars for development will be delivered

Pattern recognition on fashion imagery - working model

In this deliverable we will expand MLZs deep learning research on object detection for fashion images by including patterns Also this deliverable will include a backbone design for the WP module including existing software and abstract classes so as to enable fast integration in WP4

Fashion trend analysis and prediction model

We will use the visual content of images detected in D31 to build a first set of fashion trend analysis and prediction models

First working version of the mobile application and software for the self-scanning applications

In this deliverable a basic working version used for iterative testing of the rigged animatable 3D avatars and the self scanning mobile application will be delivered

Core functionalities of the software for the avatar-garment simulations and basic garment collection for development purposes

In this deliverable the abstract classes of the simulation algorithms the existing software and the first set of garments will be provided

Initial version of the eTryOn interaction systems

Software implementation and further development of i the VR system that simulates the physical tryons for immersive experiences ii mobile application for the fashion consumers for use in social media iii AR application for virtually trying on clothes This deliverable will feed the pilot phase

Core version of the eTryOn interaction systems

Software implementation of i the VR system that simulates the physical tryons for immersive experiences ii mobile application for the fashion consumers for use in social media iii AR application for virtually trying on clothes

Project Communication Kit

Initial project publicity material consisting of the project website poster leaflet and factsheet as well as the projects social media accounts ie Twitter LinkedIn and Facebook

Initial eTryOn middleware & APIs

Running software services with documentation and monitoring that fulfil the specifications required for the iterative testing

Data management plan (upd)

Updated guidelines for data collection storage and ownership for all eTryOn activities prior to the pilots to incorporate any new guidelines that might rise

Data management plan

Present the guidelines for data collection storage and ownership for all eTryOn activities

Publications

A VR Application for the Virtual Fitting of Fashion Garments on Avatars

Auteurs: Orestis Sarakatsanos, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris, Dongjoe Shin, David Gavilan, Jim Downing
Publié dans: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Numéro 4-8 Oct. 2021, 2021, Page(s) 40-45, ISBN 978-1-6654-1298-8
Éditeur: IEEE
DOI: 10.1109/ismar-adjunct54149.2021.00018

Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classification of Fashion Imagery

Auteurs: Stefanos-Iordanis Papadopoulos, Christos Koutlis, Martina Pugliese, Manjunath Sudheer, Delphine Rabiller, Symeon Papadopoulos and Ioannis Kompatsiaris
Publié dans: Third Workshop on Recommender Systems in Fashion, 15th ACM Conference on Recommender Systems, Numéro 27th September-1st October 2021, 2021
Éditeur: Third Workshop on Recommender Systems in Fashion

VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training

Auteurs: Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris
Publié dans: 6th ACM Conference on Recommender Systems 2022, Numéro 18th-23rd September 2022, 2022
Éditeur: Presented on 6th ACM Conference on Recommender Systems 2022
DOI: 10.48550/arxiv.2207.13458

Design-time Fashion Popularity Forecasting in VR Environments

Auteurs: Stefanos – Iordanis Papadopoulos; Christos Koutlis; Anastasios Papazoglou – Chalikias,; Symeon Papadopoulos; Spiros Nikolopoulos
Publié dans: CVPR’s “Ethical Considerations in Creative applications of Computer Vision” workshop, Numéro June 17 - 2022, 2022
Éditeur: t CVPR’s Second Workshop on Ethical Considerations in Creative applications of Computer Vision, 2022.
DOI: 10.48550/arxiv.2212.07187

Novel Paradigms of Human-Fashion Interaction

Auteurs: Anastasios Papazoglou Chalikias
Publié dans: SETN '22: Proceedings of the 12th Hellenic Conference on Artificial Intelligence, Numéro Article No.: 62, 2022, Page(s) 1–11
Éditeur: SETN '22: Proceedings of the 12th Hellenic Conference on Artificial Intelligence
DOI: 10.1145/3549737.3549803

Snapwear: A Snapchat AR filter for the virtual tryon of real clothes

Auteurs: Konstantinos Oikonomou, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris, David Gavilan, Jim Downing
Publié dans: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Numéro 4-8 Oct. 2021, 2021, Page(s) 46-51, ISBN 978-1-6654-1298-8
Éditeur: IEEE
DOI: 10.1109/ismar-adjunct54149.2021.00019

Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products

Auteurs: Stefanos-Iordanis Papadopoulos; Christos Koutlis; Symeon Papadopoulos; Ioannis Kompatsiaris
Publié dans: International Journal of Multimedia Information Retrieval, Numéro 11(4), 2022, Page(s) 717-729 (2022), ISSN 2192-6611
Éditeur: International Journal of Multimedia Information Retrieval
DOI: 10.1007/s13735-022-00262-5

VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training

Auteurs: Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris
Publié dans: Journal of Visual Communication and Image Representation, 2023, ISSN 1047-3203
Éditeur: Academic Press
DOI: 10.1016/j.jvcir.2022.103741

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