Nov 30, 2022 · Abstract:Blind image super-resolution (Blind-SR) aims to recover a high-resolution (HR) image from its corresponding low-resolution (LR) ...
Nov 30, 2022 · In this paper, we propose a Knowledge Distillation based Blind-SR network (KDSR). It consists of a knowledge distillation based implicit ...
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution ... Knowledge Distillation based Degradation Estimation for Blind Super-Resolution.
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution · 1 code implementation • 30 Nov 2022 • Bin Xia, Yulun Zhang, Yitong Wang ...
Research Collection · Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. Mendeley · CSV · RIS · BibTeX · Browse · Publish · Statistics.
Jul 28, 2022 · Abstract:The most of CNN based super-resolution (SR) methods assume that the degradation is known (\eg, bicubic). These methods will suffer ...
Jun 12, 2023 · Therefore, we adopt knowledge distillation (KD) to make the student network learn to directly extract the same implicit degradation ...
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Knowledge Distillation based Degradation Estimation for Blind Super-Resolution ... Meta-learning based degradation representation for blind super-resolution.
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution · Basic Binary Convolution Unit for Binarized Image Restoration Network · Basic ...
A degradation module is proposed to estimate the degradation kernel. •. A knowledge distillation module is proposed to transfer the learned mapping. Abstract.