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Jul 30, 2024 · We introduce a dynamic filter network integrating global and local branches to address these two degradation types. This network can greatly alleviate the ...
We classify the first class as spatial-agnostic dominant degradations, less affected by regional changes in image space, such as downsampling and noise ...
Aug 23, 2024 · Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations. IEEE Trans. Image Process. 33: 4404-4418 ...
We propose a solution that relies on three components: First, we use a degradation aware SR network to synthesize the HR image given a low resolution image.
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations. Article. Full-text available. Jul 2024; IEEE T IMAGE PROCESS.
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations. Article. Full-text available. Jul 2024; IEEE T IMAGE PROCESS.
An implicit degradation estimator that can extract discriminative degradation representations for all types of degradations without requiring the ...
It can be applied on any existing SR networks pretrained with the degradation of only bicubic downsampling to improve its generalization ability to real-world.
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations · Computer Science, Engineering. IEEE Transactions on Image ...
Aug 5, 2021 · Our Ada-VSR approach consists of two networks: the temporal super-resolution module (TSR) denoted by F𝜃 and the spatial super- resolution module ...