Search Results for author:
Found 2 papers, 2 papers with code
Revisiting Image Deblurring with an Efficient ConvNet
In this work, we propose a unified lightweight CNN network that features a large effective receptive field (ERF) and demonstrates comparable or even better performance than Transformers while bearing less computational costs.
Ranked #2 on
Image Defocus Deblurring
on DPD
Learning to Deblur using Light Field Generated and Real Defocus Images
We first train the network on a light field-generated dataset for its highly accurate image correspondence.
Ranked #1 on
Image Defocus Deblurring
on RealDOF
(using extra training data)
