FBCNN 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 FBCNN among their alternatives. The relationship is not symmetric — how FBCNN rates them is a separate judgement, made when FBCNN is analysed in its own right.
calls FBCNN “Dedicated blind JPEG artifact removal; choose when compression artifacts are the primary degradation.”
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.