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RepWave-DVDNet is an embedded deep learning video denoising engine designed for edge devices. It uses wavelet-frequency sparsity, REPVGG-based re-parameterization, temporal propagation and adaptive noise-aware filtering to deliver real-time 4K@32fps noise reduction, outperforming current state-of-the art FastDVDNet on resolution and throughput while fitting within constrained compute and memory fooprints.
We have applied for a patent on this product:
Patent Application No. 202641069810
“System and Method for Re-Parameterized Wavelet Deep Video Denoising”