How Runtime Injection Could Bring DLSS Upscaling to Unsupported Legacy Games

A technical concept dubbed DLSS5-Autopilot proposes a method to bring NVIDIA's Deep Learning Super Sampling (DLSS) to older games that never received native support. Rather than requiring game engine modifications, the hypothetical framework operates at the OS driver boundary, intercepting DirectX 12 and Vulkan graphics calls after the game engine has already issued its commands. The system is described as having three layers: an interception layer that hooks GPU API calls, a background inference engine running on Tensor Cores, and a shader hot-swap module that reroutes frames through the DLSS pipeline. This approach targets thousands of AAA titles released between 2015 and 2021 whose closed-source engines make traditional DLSS integration impossible. The article, originally published on tamiz.pro, notes that DLSS5-Autopilot is a hypothetical framework extrapolated from existing NVIDIA driver capabilities and user-space injection techniques, not a released product.