SCUNet:通过Swin-Conv-UNet和数据合成的实用盲去噪 本文提出Swin-Conv模块,将残差卷积和Swin的能力结合起来,并插入到UNet 架构中,还设计了一个实用的噪声退化模型,最终在盲图像去噪上表现SOTA!性能优于SwinIR等网络,代码刚刚开源!单位:ETH Zurich(张凯一作, Luc Van Gool等人) 虽然近年来利用深度神经网络解决图像去...
Swin-Conv-UNet (SCUNet) denoising network The architecture of the proposed Swin-Conv-UNet (SCUNet) denoising network. SCUNet exploits the swin-conv (SC) block as the main building block of a UNet backbone. In each SC block, the input is first passed through a 1×1 convolution, and subsequ...
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis, based on https://github.com/cszn/SCUNet. Dependencies NumPy PyTorch 1.13 VapourSynth R55+ Installation pip install -U vsscunet python -m vsscunet Usage from vsscunet import scunet ret = scunet(clip) See __init__.py for the...