BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics-Reference-Cited by-同舟云学术

BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics

Author:

Peng Fei¹^ORCID,Yin Liping²,Long Min³^ORCID

Affiliation:

1. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, Guangdong, China

2. School of Computer Science and Electronic Engineering, Hunan University, Changsha, China

3. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference48 articles.

2. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

5. Identifying materials of photographic images and photorealistic computer generated graphics based on deep cnns;cui;Comput Mater Continua,2018

Cited by 15 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

5. Comprehensive Analysis of Natural Images and Synthetic Images;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15