{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:21:43Z","timestamp":1740100903591,"version":"3.37.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876224"],"award-info":[{"award-number":["61876224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/icme52920.2022.9859692","type":"proceedings-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T19:45:18Z","timestamp":1661543118000},"page":"01-06","source":"Crossref","is-referenced-by-count":0,"title":["Generalizing Factorization of Gans by Characterizing Convolutional Layers"],"prefix":"10.1109","author":[{"given":"Yuehui","family":"Wang","sequence":"first","affiliation":[{"name":"Sun Yat-Sen University"}]},{"given":"Qing","family":"Wang","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University"}]},{"given":"Dongyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University"}]}],"member":"263","reference":[{"key":"ref10","first-page":"9786","article-title":"Unsupervised discovery of interpretable directions in the gan latent space","author":"voynov","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref11","article-title":"Ganspace: Discovering interpretable gan controls","author":"harkonen","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00158"},{"key":"ref13","article-title":"Spectral norm reg-ularization for improving the generalizability of deep learning","author":"yoshida","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref14","article-title":"The singular values of convolutional layers","author":"sedghi","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref15","article-title":"Un-supervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref16","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"NeurIPS"},{"key":"ref17","first-page":"1501","article-title":"Arbitrary style trans-fer in real-time with adaptive instance normalization","author":"huang","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref18","article-title":"Progressive growing of gans for im-proved quality, stability, and variation","author":"karras","year":"2017","journal-title":"ArXiv Preprint"},{"journal-title":"Danbooru Community","article-title":"Danbooru2018: A large-scale crowdsourced and tagged anime illustration dataset","year":"2019","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref3","article-title":"Large scale gan training for high fidelity natural image synthesis","author":"brock","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref5","first-page":"1125","article-title":"Image-to-image translation with conditional ad-versarial networks","author":"isola","year":"2017","journal-title":"CVPR"},{"key":"ref8","first-page":"2180","article-title":"Infogan: Inter-pretable representation learning by information maxi-mizing generative adversarial nets","author":"chen","year":"0","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref2","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NeurIPS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref9","article-title":"beta-vae: Learning basic visual concepts with a constrained variational framework","author":"irina","year":"2017","journal-title":"ICLRE"},{"key":"ref20","first-page":"6626","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"NeurIPS"}],"event":{"name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2022,7,18]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2022,7,22]]}},"container-title":["2022 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9859562\/9858923\/09859692.pdf?arnumber=9859692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:23:40Z","timestamp":1663619020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9859692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icme52920.2022.9859692","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}