RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction

• URL: http://arxiv.org/abs/2512.23437v1
• Date: Mon, 29 Dec 2025 12:57:19 GMT
• Title: RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction
• Abstract summary: RealX3D groups corruptions into four families, including illumination, scattering, and blurring, and captures each at multiple severity levels.<n>Each scene includes high-resolution capture, RAW images, and dense laser scans, from which we derive world-scale meshes and metric depth.
• Score: 51.07270086169647
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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