AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Computational Visual Media Article
PDF (14.1 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Short Communication | Open Access

Jittor-GAN: A fast-training generative adversarial network model zoo based on Jittor

BNRist, Tsinghua University, Beijing 100084, China
Show Author Information

References

[1]
Goodfellow, I. J.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; Bengio, Y. Generative adversarial nets. In: Proceedings of the 27th International Conference on Neural Information Processing Systems, Vol. 2, 2672-2680, 2014.
[2]
Hu, S.-M.; Liang, D.; Yang, G.-Y.; Yang, G.-W.; Zhou, W.-Y. Jittor: A novel deep learning framework with meta-operators and unified graph execution. Science China Information Science Vol. 63, No. 12, 222103, 2020.
Crossref Google Scholar
[3]
Cao, Y.-J.; Jia, L.-L.; Chen, Y.-X.; Lin, N.; Yang, C.; Zhang, B.; Liu, Z.; Li, X.-X.; Dai, H.-H. Recent advances of generative adversarial networks in com-puter vision. IEEE Access Vol. 7, 14985-15006, 2019.
Crossref Google Scholar
Computational Visual Media
Volume 7 Issue 1,
March 2021
Pages 153-157
DOI: 10.1007/s41095-021-0203-2
Cite this article:
Zhou W-Y, Yang G-W, Hu S-M. Jittor-GAN: A fast-training generative adversarial network model zoo based on Jittor. Computational Visual Media, 2021, 7(1): 153-157. https://doi.org/10.1007/s41095-021-0203-2

649

Views

42

Downloads

12

Crossref

13

Web of Science

14

Scopus

4

CSCD

Altmetrics
Received: 26 October 2020
Accepted: 02 January 2021
Published: 15 January 2021
© The Author(s) 2021

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduc-tion in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www. editorialmanager.com/cvmj.
Return