Scalable Neural Indoor Scene Rendering
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Technical Paper
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Research & Education
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DescriptionWe propose an MLP-based scalable neural scene representation for large-scale indoor scenes with reflections. Its kernel is tile-specific, two-layer MLPs that can encode view-independent and view-dependent appearances separately, which can be trained distributively through a background sampling technique. Our method can achieve temporally coherent, high-frequency reflection rendering results in real time.