HAT introduces a hybrid attention mechanism to activate more pixels in image super-resolution transformers, improving detail reconstruction. The method combines channel attention and spatial attention to better model long-range dependencies in high-resolution image generation. Published at CVPR 2023 with extended TPAMI version, it demonstrates superior performance across standard benchmarks including Set5, Set14, Urban100, and Manga109.