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HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency.

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Bibliographic Details
Title: HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency.
Authors: Son G; School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. Electronic address: higun2@yonsei.ac.kr., Lee JR; School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. Electronic address: emaker@yonsei.ac.kr., Hwang D; School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea. Electronic address: dosik.hwang@yonsei.ac.kr.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Jul; Vol. 199, pp. 108666. Date of Electronic Publication: 2026 Jan 29.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2782
DOI:10.1016/j.neunet.2026.108666