PortraitCraft: A Benchmark for Portrait Composition Understanding and Generation
Yuyang Sha, Zijie Lou, Youyun Tang, Xiaochao Qu, Zheng Qu, Ben Xia, Haoxiang Li, Ting Liu, Luoqi Liu

TL;DR
PortraitCraft introduces a comprehensive benchmark dataset and evaluation framework for portrait composition understanding and generation, enabling systematic research in structured portrait analysis and controllable image synthesis.
Contribution
The paper presents a new large-scale, multi-level annotated portrait dataset and defines two benchmark tasks for understanding and generating portraits with explicit compositional constraints.
Findings
Baseline models demonstrate the feasibility of composition understanding and generation tasks.
The dataset enables fine-grained attribute reasoning and interpretability in portrait analysis.
Standardized protocols facilitate future research in portrait aesthetics and controllable synthesis.
Abstract
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 composition attributes, attribute-level explanation texts, visual question answering pairs, and composition-oriented textual descriptions for generation. Based on this dataset, we establish two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
