HAT is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named HAT among their alternatives. The relationship is not symmetric — how HAT rates them is a separate judgement, made when HAT is analysed in its own right.
calls HAT “Transformer super-resolution with hybrid attention; choose for high-PSNR restoration on standard degradations.”
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.