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LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
arXiv – CS AI|Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Nie{\ss}ner, Joan Lasenby||17 views
🤖AI Summary
Researchers have developed LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic 3D virtual replicas suitable for AR/VR, gaming, robotics, and digital twins. The system features scene understanding, object retrieval, material painting, and physics integration to create graphics-ready environments that support object individuality and physically-based rendering.
Key Takeaways
- →LiteReality converts RGB-D scans into interactive 3D virtual replicas with graphics pipeline compatibility.
- →The system includes scene understanding, object retrieval from curated databases, and material painting modules.
- →Reconstructed scenes support object individuality, articulation, and physically-based rendering materials.
- →The pipeline achieves state-of-the-art performance on the Scan2CAD benchmark without requiring training.
- →Applications include AR/VR, gaming, robotics, and digital twin creation with compact, editable outputs.
#3d-reconstruction#computer-vision#ar-vr#graphics#scene-understanding#digital-twins#robotics#gaming#material-rendering#rgbd
Read Original →via arXiv – CS AI
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