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HRTF Upsampling Across Varying Measurement Configurations with Geometry-Aware Query-Conditioned Aggregation
Personalized head-related transfer functions (HRTFs) are essential for spatial audio rendering, but densely measuring an individual's HRTFs is costly and time-consuming. HRTF upsampling reduces this burden by estimating dense HRTFs from sparse measurements. Recent learning-based methods have achieve
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