DiffVQE is presented as the first reproducible diffusion-based AEC model that outperforms Microsoft's DeepVQE in echo/noise control, model size, and computational complexity using URGENT Challenge data.
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
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