Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restoration

arXiv:2404.00279v1 Announce Type: new
Abstract: Transformer-based approaches have achieved superior performance in image restoration, since they can model long-term dependencies well. However, the limitation in capturing local information restricts their capacity to remove degradations. While existing approaches attempt to mitigate this issue by incorporating convolutional operations, the core component in Transformer, i.e., self-attention, which serves as a low-pass filter, could unintentionally dilute or even eliminate the acquired local patterns. In this paper, we propose HIT, a simple yet effective High-frequency …

arxiv cs.cv image image restoration look transformer type