SAFMN 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 SAFMN among their alternatives. The relationship is not symmetric — how SAFMN rates them is a separate judgement, made when SAFMN is analysed in its own right.
calls SAFMN “Lightweight efficient SR model; choose for edge/low-compute deployment, not for blind real-world degradation.”
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.