The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Toward AI fashion design: An Attribute-GAN model for clothing match
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Claims other papers make about this one
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In the citing paper
“As AI-generated video capabilities advance, AI is also reshaping fashion design through dynamic visuals [45, 60] and supporting the creation of short-form social media videos [50].”
From Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation (2025) · cites this paper as [60]
Citations
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
Conditional Generative Adversarial Nets
Mirza, M., & Osindero, S. (2014) · arXiv · doi:10.48550/arxiv.1411.1784 · Cited by 8,863
Energy-based Generative Adversarial Network
Zhao, J., Mathieu, M., & LeCun, Y. (2016) · arXiv · doi:10.48550/arxiv.1609.03126 · Cited by 912
Research works printed but not linked: 1
- Chen, 2015, Deep domain adaptation for describing people based on fine-grained clothing attributes, 5315, 10.1007/978-1-4471-6714-3 · DOI
Cited by
Sorted by citations
A survey on face data augmentation for the training of deep neural networks
Wang, X., Wang, K., & Lian, S. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04748-3 · Cited by 141
Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation
Tang, Y., Li, H., Lan, M., Ma, X., & Qu, H. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714120 · Cited by 18
“As AI-generated video capabilities advance, AI is also reshaping fashion design through dynamic visuals [45, 60] and supporting the creation of short-form social media videos [50].”
Metadata
- Authors
- Liu, L., Zhang, H., Ji, Y., & Jonathan Wu, Q. M.
- Affiliations
- Harbin Institute of Technology (CN)
- Corresponding author
- Zhang, Haijun
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 341
- Pages
- 156-167
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2922263752
- Cited by
- 141
- References
- 3
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 28 · 2023: 31 · 2022: 14 · 2021: 11 · 2020: 12 · 2019: 7
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurocomputing (publishedVersion)
- Funders
- National Key R&D Program of China (2018YFB1003800, 2018YFB1003805)
- Natural Science Foundation of China (61832004)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- clothing matching, generative adversarial networks, clothing attributes, style transfer, personal style
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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