Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gunhan Park"'
Publikováno v:
Electronics Letters, Vol 57, Iss 24, Pp 915-917 (2021)
Abstract This paper proposes a full body virtual try‐on which handles both top and bottom garments and generates realistic try‐on images. For the full body virtual try‐on, this paper addresses lack of suitable training data to align and fit top
Externí odkaz:
https://doaj.org/article/1e9d778467f44d22a26f9f3182cabfcc
Publikováno v:
Electronics Letters, Vol 57, Iss 24, Pp 915-917 (2021)
This paper proposes a full body virtual try‐on which handles both top and bottom garments and generates realistic try‐on images. For the full body virtual try‐on, this paper addresses lack of suitable training data to align and fit top and bott
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645a98c42a12268b822cfd8e751307c2
https://doi.org/10.1049/ell2.12307
https://doi.org/10.1049/ell2.12307
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f4875bfc3d91aaee66577594f829f31
https://doi.org/10.1109/icip42928.2021.9506779
https://doi.org/10.1109/icip42928.2021.9506779
Publikováno v:
ICCV Workshops
In this paper, we propose an image-based virtual try-on network, LA-VITON, which allows the generation of high fidelity try-on images that preserves both the overall appearance and the characteristics of clothing items. The proposed network consists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e204a1195bdfdbaf9d6dddba1a42fade
https://doi.org/10.1109/iccvw.2019.00381
https://doi.org/10.1109/iccvw.2019.00381
Publikováno v:
Multimedia Tools and Applications. 31:195-219
Web image retrieval has characteristics different from typical content-based image retrieval; web images have associated textual cues. However, a web image retrieval system often yields undesirable results, because it uses limited text information su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef7dd99339619256396eacc041df0cc3
https://doi.org/10.1007/s11042-006-0039-x
https://doi.org/10.1007/s11042-006-0039-x
Publikováno v:
Information Processing & Management. 41:177-194
In this paper, we propose a re-ranking algorithm using post-retrieval clustering for content-based image retrieval (CBIR). In conventional CBIR systems, it is often observed that images visually dissimilar to a query image are ranked high in retrieva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5cce160848436652e60f32524e934eb
https://doi.org/10.1016/j.ipm.2003.08.002
https://doi.org/10.1016/j.ipm.2003.08.002
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540406341
CIVR
CIVR
In this paper, we address a ranking problem in web image retrieval. Due to the growing availability of web images, comprehensive retrieval of web images has been expected. Conventional systems for web image retrieval are based on keyword- based retri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaf6f83b9ef910e62777ce4634c7279c
https://doi.org/10.1007/3-540-45113-7_12
https://doi.org/10.1007/3-540-45113-7_12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540438991
CIVR
CIVR
In this paper, we propose a ranking algorithm using dynamic clustering for content-based image retrieval(CBIR). In conventional CBIR systems, it is often observed that visually dissimilar images to the query image are located at high ranking. To reme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ef04309b96bb16785af02361d714b2
https://doi.org/10.1007/3-540-45479-9_35
https://doi.org/10.1007/3-540-45479-9_35
Publikováno v:
Information Processing & Management. 41:410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d82969693853fa7149080a42e163b5d
https://doi.org/10.1016/j.ipm.2004.09.002
https://doi.org/10.1016/j.ipm.2004.09.002