Modelling Spring Reverb with Neural Audio Effects
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Updated
Mar 7, 2025 - Python
Modelling Spring Reverb with Neural Audio Effects
PyTorch implementation of standalone neural modules - CBN, Attention, Glimpse, Modulated ResNet (MODERN), FiLM Layer
PyTorch models for AV1 artifact removal. Features a universal CRF-Preset conditional model (FiLM-based U-Net) and ultra-light Nano models (U-Net, ResNet, ...) for fast real-time video restoration (different model for each CRF bucket).
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