Controllable multi-domain semantic artwork synthesis
Abstract We present a novel framework for the multi-domain synthesis of artworks from semantic layouts. One of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art synthesis. To address this problem, we propose a dataset called ArtSem that con...
| Published in: | Computational Visual Media |
|---|---|
| Main Authors: | Yuantian Huang, Satoshi Iizuka, Edgar Simo-Serra, Kazuhiro Fukui |
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-01-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41095-023-0356-2 |
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