DLW learns a neural network weight function via bilevel optimization to improve variational denoising models on heterogeneous complex noise types with claimed transferability.
In: Proceedings of the IEEE International Conference on Computer Vision, pp 1337--1344
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A Data-driven Loss Weighting Scheme across Heterogeneous Tasks for Image Denoising
DLW learns a neural network weight function via bilevel optimization to improve variational denoising models on heterogeneous complex noise types with claimed transferability.