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 subsequently is split evenly into two feature map...
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...
scunet登录脚本. Contribute to IanSmith123/SCUNET development by creating an account on GitHub.
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[WACV 2024] SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation - SCUNet-plusplus/requirements.txt at main · neophack/SCUNet-plusplus