Guanglu Zhou

Multi-View Learning with Context-Guided Receptance for Image Denoising

Image denoising is essential in low-level vision applications such as photography and automated driving. Existing methods struggle with distinguishing complex noise patterns in real-world scenes and consume significant computational resources due to reliance on Transformer-based models. In this work