Transformer-Based Blind-Spot Network for Effective Self-Supervised Image Denoising

The core message of this work is to propose a transformer-based blind-spot network (TBSN) that incorporates spatial and channel self-attention mechanisms to enhance the local adaptivity and expand the receptive field for effective self-supervised image denoising.