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VMAF Re-implementation on PyTorch: Some Experimental Results

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Abstract

Based on the standard VMAF implementation we propose an implementation of VMAF using PyTorch framework. For this implementation comparisons with the standard (libvmaf) show the discrepancy 102\lesssim 10^{-2} in VMAF units. We investigate gradients computation when using VMAF as an objective function and demonstrate that training using this function does not result in ill-behaving gradients.

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