^Nvidia RTX DLSS: Everything you need to know. Digital Trends. 2020-02-14 [2020-04-05]. （原始內容存檔於2018-11-02）. Deep learning super sampling uses artificial intelligence and machine learning to produce an image that looks like a higher-resolution image, without the rendering overhead. Nvidia’s algorithm learns from tens of thousands of rendered sequences of images that were created using a supercomputer. That trains the algorithm to be able to produce similarly beautiful images, but without requiring the graphics card to work as hard to do it.
^AMD Thinks NVIDIA DLSS is not Good Enough; Calls TAA & SMAA Better Alternatives. techquila.co.in. 2019-02-15 [2020-04-06]. （原始內容存檔於2019-02-15）. Recently, two big titles received NVIDIA DLSS support, namely Metro Exodus and Battlefield V. Both these games come with NVIDIA’s DXR (DirectX Raytracing) implentation that at the moment is only supported by the GeForce RTX cards. DLSS makes these games playable at higher resolutions with much better frame rates, although there is a notable decrease in image sharpness. Now, AMD has taken a jab at DLSS, saying that traditional AA methods like SMAA and TAA 「offer superior combinations of image quality and performance.」
^Nvidia Very Quietly Made DLSS A Hell Of A Lot Better. Kotaku. 2020-02-22 [2020-04-06]. （原始內容存檔於2020-09-29）. The benefit for most people is that, generally, DLSS comes with a sizeable FPS improvement. How much varies from game to game. In Metro Exodus, the FPS jump was barely there and certainly not worth the bizarre hit to image quality.
^HW News - Crysis Remastered Ray Tracing, NVIDIA DLSS 2, Ryzen 3100 Rumors. 2020-04-19 [2020-04-19]. （原始內容存檔於2020-09-26）. 「The original DLSS required training the AI network for each new game. DLSS 2.0 trains using non-game-specific content, delivering a generalized network that works across games. This means faster game integrations, and ultimately more DLSS games.」
