Three months after releasing Resident Evil Village for PC and forcing owners to suffer through several performance issues caused by Denuvo, Capcom has finally released the patch that addresses those issues.
Better late than never, right?
An important update for Resident Evil Village players on Steam:
– FidelityFX Super Resolution (FSR) from AMD is now supported. FSR supports higher frame rates on PC for an improved gaming experience.
– Adjustments have been made to optimize the anti-piracy technology.
— Resident Evil (@RE_Games) July 20, 2021
Mind you, this was only after it was brought to light that the anti-temper software, Denuvo, was exposed as causing the related issues. For those not in the known, Denvuo has been blamed for performance-related issues for years now. Several developers have removed the software from its games only after proving that Denuvo was the cause, just like it was for Resident Evil Village.
It really sticks that it took a cracked version of the game to show that the performance issues were caused by the very thing supposed to keep people honest. Those who purchased the game had to play the inferior version, while others who acquired the game could play the game as it was intended. I do appreciate that Capcom realized this and released a patch, but again, three months too late. There had been dozens of threads on Reddit, countless support tickets, complaints on the Steam forums, and various other places. Yet, those were ignored. It took for the game to be cracked for Capcom to spring into action, and that’s not fair to anyone who purchased the game.
And despite it all, now that the game is craked, what purpose does Denuvo even serve? Just remove Denuvo from the game and call it a day.
Keep in mind that this patch ONLY addresses the Resident Evil Village performance issues caused by Denuvo. If you’re having other issues not related to Denuvo, the patch will not help you.
This patch also introduces FSR (FidelityFX Super Resolution) for AMD cards and is AMD’s answer to Nvidia’s DLSS (Deep Learning Super Sampling).