Multi-view 3D reconstruction methods remain highly sensitive to photometric inconsistencies arising from camera optical characteristics and variations in image signal processing (ISP). Existing mitigation strategies such as per-frame latent variables or affine color corrections lack physical grounding and generalize poorly to novel views. We propose the Physically-Plausible ISP (PPISP) correction module, which disentangles camera-intrinsic and capture-dependent effects through physically based and interpretable transformations. A dedicated PPISP controller, trained on the input views, predicts ISP parameters for novel viewpoints, analogous to auto exposure and auto white balance in real cameras. This design enables realistic and fair evaluation on novel views without access to ground-truth images. PPISP achieves state-of-the-art performance on standard benchmarks, while providing intuitive control and supporting the integration of metadata when available. The source code is available at: https://github.com/nv-tlabs/ppisp

翻译：多视角三维重建方法对由相机光学特性及图像信号处理（ISP）变化引起的光度不一致性高度敏感。现有缓解策略（如逐帧潜变量或仿射颜色校正）缺乏物理基础，且对新颖视角的泛化能力较差。我们提出物理合理性ISP（PPISP）校正模块，通过基于物理的可解释变换，解耦相机固有效应与拍摄相关效应。一个专门的PPISP控制器在输入视图上训练，用于预测新奇视角的ISP参数，其功能类比实际相机中的自动曝光与自动白平衡。该设计使得无需真实图像即可对新视角进行真实且公平的评估。PPISP在标准基准上达到了最先进性能，同时提供直观的控制能力，并支持在可用时集成元数据。源代码发布于：https：//github.com/nv-tlabs/ppisp