CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation-Reference-Cited by-同舟云学术

CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation

Author:

Huo Jing¹^ORCID,Liu Xiangde¹^ORCID,Li Wenbin¹,Gao Yang¹^ORCID,Yin Hujun²^ORCID,Luo Jiebo³^ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

2. Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.

3. Department of Computer Science, University of Rochester, Rochester, NY, USA

Funder

Science and Technology Innovation 2030 New Generation Artificial Intelligence Major Project

National Natural Science Foundation of China

CAAI-Huawei MindSpore Open Fund

Collaborative Innovation Center of Novel Software Technology and Industrialization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference38 articles.

1. Improved techniques for training GANs;salimans;Proc Adv Neural Inform Process,2016

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. FlexIcon: Flexible Icon Colorization via Guided Images and Palettes;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26