Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN
Crossref DOI link: https://doi.org/10.1007/s11263-020-01333-y
Published Online: 2020-05-29
Published Print: 2020-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Saito, Masaki http://orcid.org/0000-0003-4200-6585
Saito, Shunta
Koyama, Masanori
Kobayashi, Sosuke
Text and Data Mining valid from 2020-05-29
Version of Record valid from 2020-05-29
Article History
Received: 15 May 2019
Accepted: 21 April 2020
First Online: 29 May 2020