Low-Light Image Enhancement via Gradient Based Cross-Attention Transformer

This paper proposes a novel deep learning-based method for enhancing low-light images. The approach introduces a transformer-based attention mechanism on gradient domain. Experimental results demonstrate superior performance compared to existing techniques, making it a promising solution for improving low-light image quality.