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LightFuse framework enables relightable interactive 3D scene reconstruction

Researchers have introduced LightFuse, a novel 2D Gaussian framework designed for relightable interactive scene reconstruction. This system allows for the creation of editable 3D models from various scans, enabling new renderings under different lighting conditions. LightFuse addresses limitations in existing methods by explicitly decomposing material and illumination, and employing physically based relighting techniques. The framework reconstructs shared backgrounds and movable objects, refines geometry through ray tracing, and separates material properties from state-specific lighting. Experiments show LightFuse achieves state-of-the-art relighting quality, outperforming baselines in PSNR and SSIM metrics. AI

IMPACT Enables more realistic and interactive 3D scene editing and rendering, potentially impacting fields like virtual reality and game development.

RANK_REASON The item is a research paper published on arXiv detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LightFuse framework enables relightable interactive 3D scene reconstruction

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The item is a research paper published on arXiv detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Haonan Zhou, Gaoxiang Linghu, Youlin Jia, Hongyu Cui, Kewei Wei, Kaiyue Zhou, Bruce X. B. Yu, Gaoang Wang ·

    LightFuse: Relightable Interactive Gaussian Scene Reconstruction via Multi-Scan Fusion and 2D Gaussian Ray Tracing

    arXiv:2608.29269v1 Announce Type: new Abstract: Relightable interactive scene reconstruction aims to build an editable 3D model from scans of different object arrangements and render new layouts under novel illumination. Existing methods either bake lighting into appearance or re…