PortraitCraft: A Benchmark for Portrait Composition Understanding and Generation
Portrait composition plays a central role in portrait aesthetics and visual communication, yet existing datasets and benchmarks mainly focus on coarse aesthetic scoring, generic image aesthetics, or unconstrained portrait generation. This limits systematic research on structured portrait composition analysis and controllable portrait generation under explicit composition requirements. In this paper, we introduce PortraitCraft, a unified benchmark for portrait composition understanding and generation. PortraitCraft is built on a dataset of approximately 50,000 curated real portrait images with structured multi-level supervision, including global composition scores, annotations over 13 comp...
| Authors | Yuyang Sha, Zijie Lou, Youyun Tang et al. |
|---|---|
| Primary category | cs.CV |
| Published | 4 April 2026 |
| Last updated at source | 16 April 2026 |
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- zijielou/PortraitCraftDataset · cited by
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- zijielou/PortraitCraftDataset
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