Indoor Scene Reconstruction
Overview
Indoor scene reconstruction studies how to turn images, video, depth, and sensor scans into coherent 3D models of rooms, objects, and their spatial relationships. Methods range from SLAM, neural implicit surfaces, and 3D Gaussian Splatting to structured scene programs and generative models that complete missing geometry; multi-view panoramas and semantic cues help recover larger spaces. Accurate, editable reconstructions support digital twins, architectural analysis, and embodied robots that need to navigate or manipulate objects. A central challenge is balancing plausible completion with fidelity to observed evidence, especially when views are sparse, rooms are cluttered, or scale and viewpoint coverage are uncertain.
Latest papers
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