AINeutralarXiv – CS AI · 3h ago6/10
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EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction
Researchers introduce EigeNet, a geometry-informed deep learning framework for predicting Room Impulse Response (RIR) in spatial audio from limited observations. The model combines transformer architecture with acoustic ray tracing principles to achieve state-of-the-art performance in few-shot novel view RIR prediction and demonstrates strong sim-to-real generalization capabilities.