用3D视角调整提升摄影构图美感，让普通人也能轻松拍出专业级照片。
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
- 基于专家照片自动构建视角调整数据集，解决训练数据稀缺问题。
- 通过视频展示视角变化过程，直观呈现构图优化效果。
- 引入人眼评估模型判断视角质量，适合摄影初学者和爱好者使用。
传统摄影构图多依赖2D裁剪方法，但在主体布局不佳时效果有限。专业摄影师常通过视角调整实现3D重构，改变物体在画面中的投影关系，同时保持实际空间位置，以获得更佳构图平衡。受此启发，本文提出摄影视角构图（PPC），突破传统裁剪限制。针对实施中的两大挑战——视角变换数据集稀缺与视角质量评估标准缺失，提出三项贡献：(1) 基于专家作品的自动化框架，构建可扩展的PPC数据集；(2) 一种视频生成方法，动态展示从不理想到美学优化视角的转变过程；(3) 依据人类判断建立的视角质量评估（PQA）模型。该方法无需额外提示或相机轨迹，简洁高效，助力普通用户提升构图能力。
原文摘要 · Abstract (English)
Traditional photography composition approaches are dominated by 2D cropping-based methods. However, these methods fall short when scenes contain poorly arranged subjects. Professional photographers often employ perspective adjustment as a form of 3D recomposition, modifying the projected 2D relationships between subjects while maintaining their actual spatial positions to achieve better compositional balance. Inspired by this artistic practice, we propose photography perspective composition (PPC), extending beyond traditional cropping-based methods. However, implementing the PPC faces significant challenges: the scarcity of perspective transformation datasets and undefined assessment criteria for perspective quality. To address these challenges, we present three key contributions: (1) An automated framework for building PPC datasets through expert photographs. (2) A video generation approach that demonstrates the transformation process from less favorable to aesthetically enhanced perspectives. (3) A perspective quality assessment (PQA) model constructed based on human performance. Our approach is concise and requires no additional prompt instructions or camera trajectories, helping and guiding ordinary users to enhance their composition skills.
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