GRB-Sty: Redesign of Generative Residual Block for StyleGAN
We have previously published a paper introducing a novel module, the Generative Residual Block (GRB), which successfully enhances GAN performance. However, the experiments in the earlier paper were conducted on baseline models using spectral normalization, a technique seldom used today. To address t...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959525000232 |
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| author | Seung Park Yong-Goo Shin |
| author_facet | Seung Park Yong-Goo Shin |
| author_sort | Seung Park |
| collection | DOAJ |
| description | We have previously published a paper introducing a novel module, the Generative Residual Block (GRB), which successfully enhances GAN performance. However, the experiments in the earlier paper were conducted on baseline models using spectral normalization, a technique seldom used today. To address this problem, we investigate the effectiveness of GRB on contemporary StyleGAN-based models. This paper introduces an enhanced version of GRB, termed GRB-Sty, which consistently boosts the performance of StyleGAN-based models and demonstrates versatility across various aspects. The significant performance enhancements observed in extensive experiments on multiple benchmark datasets highlight the compatibility of GRB-Sty with state-of-the-art methods. |
| format | Article |
| id | doaj-art-bc455c927bd54d3ebba1b2ab27c75552 |
| institution | Kabale University |
| issn | 2405-9595 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-bc455c927bd54d3ebba1b2ab27c755522025-08-20T03:44:27ZengElsevierICT Express2405-95952025-04-0111222322710.1016/j.icte.2025.02.007GRB-Sty: Redesign of Generative Residual Block for StyleGANSeung Park0Yong-Goo Shin1Biomedical Engineering, Chungbuk National University Hospital, 776, Seowon-gu, Cheongju-si, Chungcheongbuk-do, Republic of KoreaDepartment of Electronics and Information Engineering, Korea University, 2511, Sejong-ro, Jochiwon-eup, Sejong-si, 30019, Republic of Korea; Corresponding author.We have previously published a paper introducing a novel module, the Generative Residual Block (GRB), which successfully enhances GAN performance. However, the experiments in the earlier paper were conducted on baseline models using spectral normalization, a technique seldom used today. To address this problem, we investigate the effectiveness of GRB on contemporary StyleGAN-based models. This paper introduces an enhanced version of GRB, termed GRB-Sty, which consistently boosts the performance of StyleGAN-based models and demonstrates versatility across various aspects. The significant performance enhancements observed in extensive experiments on multiple benchmark datasets highlight the compatibility of GRB-Sty with state-of-the-art methods.http://www.sciencedirect.com/science/article/pii/S2405959525000232Generative adversarial networksGenerative residual blockSide-residual pathStyleGAN |
| spellingShingle | Seung Park Yong-Goo Shin GRB-Sty: Redesign of Generative Residual Block for StyleGAN ICT Express Generative adversarial networks Generative residual block Side-residual path StyleGAN |
| title | GRB-Sty: Redesign of Generative Residual Block for StyleGAN |
| title_full | GRB-Sty: Redesign of Generative Residual Block for StyleGAN |
| title_fullStr | GRB-Sty: Redesign of Generative Residual Block for StyleGAN |
| title_full_unstemmed | GRB-Sty: Redesign of Generative Residual Block for StyleGAN |
| title_short | GRB-Sty: Redesign of Generative Residual Block for StyleGAN |
| title_sort | grb sty redesign of generative residual block for stylegan |
| topic | Generative adversarial networks Generative residual block Side-residual path StyleGAN |
| url | http://www.sciencedirect.com/science/article/pii/S2405959525000232 |
| work_keys_str_mv | AT seungpark grbstyredesignofgenerativeresidualblockforstylegan AT yonggooshin grbstyredesignofgenerativeresidualblockforstylegan |