在3D场景中提前规划人像拍摄的姿势、相机与灯光，让照片更美观。
Before the Shutter: Aesthetic and Actionable Portrait Photography Planning in 3D Scenes
- 构建摄影场景图，融合环境可操作性与光照结构
- 生成的方案获人类与多模态大模型评分更高，物理合理性强
- 适合需要高质量预拍设计的摄影师和影视制作团队
人像摄影的成败早在快门按下前就已决定：主体姿态、相机设置与照明设备需在三维场景中协调。然而，现有计算方法大多聚焦于2D图像的后期处理，如修图、重打光或编辑已有图像，而拍摄前的规划仍基本未被探索。本文提出3D美学人像规划任务，旨在生成符合几何与光度可行性的姿态、相机、照明及曝光方案，以产出视觉吸引力强的人像。我们构建了摄影场景图，表征场景可用性、主体与场景的关系以及人像相关光照结构。基于此表示，进行美学引导的对比式规划，结合历史尝试与实时取景观察。在多种室内外场景中的实验表明，本方法生成的方案在人类评分者与多模态大模型评估中均优于竞争基线，同时保持高物理真实性。结果表明，计算人像摄影正从后置修正迈向前置规划。
原文摘要 · Abstract (English)
Portrait photography is largely decided before the shutter opens: the subject's pose, the camera configuration, and the lighting devices must be coordinated within the surrounding 3D scene. In contrast, most existing computational methods focus on post-production in 2D image space, such as retouching, relighting, or editing images that already exist; pre-capture photographic planning remains largely unexplored. We introduce 3D aesthetic portrait planning, the task of generating human pose, camera, lighting, and exposure plans that produce visually compelling portraits while satisfying geometric and photometric feasibility in a 3D scene. Our approach builds a Photographic Scene Graph that represents scene affordances, subject-scene relations, and portrait-relevant lighting structure. Built on this representation, we perform aesthetic-guided comparative planning over previous attempts and current viewfinder observations. Experiments across diverse indoor and outdoor scenes show that our method produces portraits preferred by human raters and MLLM evaluators over competitive baselines, while maintaining high physical plausibility. Together, our results suggest a path from post-capture correction toward pre-capture computational portrait planning. Project repository: https://github.com/songrise/Before-the-Shutter
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