Search Results for author:
Found 1 papers, 0 papers with code
NLCUnet: Single-Image Super-Resolution Network with Hairline Details
Based on this finding, we create a new network architecture by integrating depth-wise convolution with channel attention without the blur kernel estimation, resulting in a performance improvement instead.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
