Kaiyi Feng

GCAT: Gated Convolutional Attention Transformer for Efficient Image Super-Resolution

Recently, Transformer-based methods have achieved impressive performance in many computer vision tasks (e.g., image super-resolution (SR)) due to the advantages of long-range modeling. However, the computational cost requirement renders these methods unsuitable on resource-constrain devices, especia…