Cross Modal Facial Image Synthesis Using a Collaborative Bidirectional Style Transfer Network-Reference-Cited by-同舟云学术

Cross Modal Facial Image Synthesis Using a Collaborative Bidirectional Style Transfer Network

Author:

Din Nizam Ud¹,Bae Seho²^ORCID,Javed Kamran³,Park Hyunkyu²,Yi Juneho¹^ORCID

Affiliation:

1. Saudi Scientific Society for Cybersecurity, Riyadh, Saudi Arabia

2. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

3. National Centre of Artificial Intelligence (NCAI), Saudi Data and Artificial Intelligence Authority (SDAIA), Riyadh, Saudi Arabia

Funder

National Research Foundation of Korea

High-performance Computing (HPC) Support Project

Ministry of Science and ICT and National IT Industry Promotion Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference39 articles.

1. Encoder–decoder with Atrous separable convolution for semantic image segmentation;chen;Proc Eur Conf Comput Vis (ECCV),2018

5. Multi-style generative network for real-time transfer;zhang;Proc Eur Conf Comput Vis Workshops (ECCV),2018

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