The system will still need to be trained, and support added for a game individually, but it can do so with non-game specific information. To lessen the burden on its own team-which have already put 'blood, sweat, and tears' into DLSS-Nvidia has removed the requirement to train an AI network on a per game basis. What it claims should soothe a lot of the complaints of its users.īut DLSS also requires support to gain notoriety.
So what's new with DLSS 2.0, and why should you take another look at Nvidia's technology? Perhaps the biggest enhancement with Nvidia's neural network are the new temporal feedback techniques, which it says can deliver sharper image details and improved stability frame to frame. As a result, the performance-enhancing feature, that was often key to bearable frame rates with ray tracing effects turned on, was left on the sidelines. The initial AI-based super resolution algorithm did deliver a hearty increase in frame rates but lost a great deal in picture clarity. That is, after all, what was promised with DLSS back at RTX 20-series launch in August 2018.
In order to do that it needs to deliver higher frame rates-through the power of AI upscaling-with minimal impact on visual fidelity.
