Lai, Hongfeng (2024) Exploiting Human Face Segmentation for Improving Portrait Image Style Transfer. In: Proceedings of the 3rd International Conference on Innovation Design and Digital Technology, ICIDDT 2023, November 3–5, 2023, Zhenjiang, China.
![[thumbnail of 58679.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "58679.pdf")
PDF
58679.pdf
Download (460kB)
Abstract
This research proposes a model to address the common issues of facial
distortion and loss of details in style transfer of images containing faces. The model aims
to achieve background stylization while preserving facial integrity and improving image
clarity by reducing potential blurring during t
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:03 |
| Last Modified: | 17 Apr 2026 01:07 |
| URI: | http://eprints.eai.eu/id/eprint/46613 |
Actions (login required)
- View Item