We introduce RealX3D, a real-capture benchmark for multi-view visual restoration and 3D reconstruction under diverse physical degradations. RealX3D groups corruptions into four families, including illumination, scattering, occlusion, and blurring, and captures each at multiple severity levels using a unified acquisition protocol that yields pixel-aligned LQ/GT views. Each scene includes high-resolution capture, RAW images, and dense laser scans, from which we derive world-scale meshes and metric depth. Benchmarking a broad range of optimization-based and feed-forward methods shows substantial degradation in reconstruction quality under physical corruptions, underscoring the fragility of current multi-view pipelines in real-world challenging environments.

翻译：我们提出了RealX3D，一个用于多种物理退化条件下多视角视觉恢复与三维重建的真实采集基准数据集。RealX3D将退化类型归纳为四大类，包括光照变化、散射效应、遮挡干扰和模糊退化，并采用统一的采集协议，在多个严重程度等级下进行捕获，从而获得像素对齐的低质量/高质量视图。每个场景均包含高分辨率采集图像、RAW原始数据以及密集激光扫描数据，并据此生成世界尺度的网格模型和度量深度信息。通过对一系列基于优化的方法和前馈方法进行基准测试，我们发现物理退化会导致重建质量显著下降，这凸显了当前多视角重建流程在现实世界复杂环境中的脆弱性。