{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:31:54Z","timestamp":1743006714067,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030519704"},{"type":"electronic","value":"9783030519711"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-51971-1_20","type":"book-chapter","created":{"date-parts":[[2020,8,8]],"date-time":"2020-08-08T17:03:00Z","timestamp":1596906180000},"page":"245-256","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Approach Towards High Fidelity Image Generation"],"prefix":"10.1007","author":[{"given":"Arindam","family":"Chaudhuri","sequence":"first","affiliation":[]},{"given":"Soumya K.","family":"Ghosh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,9]]},"reference":[{"key":"20_CR1","unstructured":"Vaswani, A., et al: Attention is all you need. arXiv 1706.03762 (2017)"},{"key":"20_CR2","unstructured":"Wu, Y., et al: Google\u2019s neural machine translation system: bridging the gap between human and machine translation. arXiv 1609.08144 (2016)"},{"key":"20_CR3","unstructured":"Van den Oord, A., et al: Wavenet: a generative model for raw audio. arXiv 1609.03499 (2016)"},{"key":"20_CR4","unstructured":"Parmar, N., et al: Image transformer. arXiv 1802.05751 (2018)"},{"key":"20_CR5","unstructured":"Kalchbrenner, N.: Video pixel networks. arXiv 1610.00527 (2016)"},{"key":"20_CR6","unstructured":"Arora, S., et al: Do GANs actually learn the distribution? An empirical study. arXiv 1706.08224 (2017)"},{"key":"20_CR7","unstructured":"Menick, J., et al: Generating high fidelity images with subscale pixel networks and multidimensional upscaling. In: 7th International Conference on Learning Representations (2019)"},{"key":"20_CR8","unstructured":"Chaudhuri, A.: Some experiments on generating high fidelity images. Technical report, Samsung R&D Institute Delhi, India (2019)"},{"key":"20_CR9","unstructured":"ImageNet. http:\/\/www.image-net.org\/"},{"key":"20_CR10","unstructured":"CelebAHQ. http:\/\/mmlab.ie.cuhk.edu.hk\/projects\/CelebA.html"},{"key":"20_CR11","unstructured":"Kingma, D.P., et al: Generative flow with invertible 1\u2009\u00d7\u20091 convolutions. arXiv 1807.03039 (2018)"},{"key":"20_CR12","unstructured":"Kolesnikov, A., et al: Deep probabilistic modeling of natural images using a pyramid decomposition. arXiv 1612.08185 (2016)"}],"container-title":["Advances in Intelligent Systems and Computing","Artificial Intelligence and Bioinspired Computational Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-51971-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T19:16:07Z","timestamp":1618254967000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-51971-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030519704","9783030519711"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-51971-1_20","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSOC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Science On-line Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zlin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csolc2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csoc.openpublish.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}