Deep learning anti-aliasing

Deep learning anti-aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia.[1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards.[1]

DLAA is similar to deep learning super sampling (DLSS) in its anti-aliasing method,[2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality,[3] whereas the main priority of DLAA is improving image quality at the cost of performance (irrelevant of resolution upscaling or downscaling).[4] DLAA is similar to temporal anti-aliasing (TAA) in that they are both spatial anti-aliasing solutions relying on past frame data.[3][5] Compared to TAA, DLAA is substantially better when it comes to shimmering, flickering, and handling small meshes like wires.[6]

DLAA collects game rendering data such as raw low-resolution input, motion vectors, depth buffers, and exposure information. This information is then used by DLAA to improve its anti-aliasing, with the aim of reducing temporal instability.

  1. ^ a b Kostovic, Aleksandar (2021-09-20). "Nvidia Readies Deep Learning Anti-Aliasing Debut with The Elder Scrolls Online Update". Tom's Hardware. Retrieved 2022-02-20.
  2. ^ Hruska, Joel (2021-09-21). "Nvidia's DLAA Could Be a Huge Step Forward for Anti-Aliasing". ExtremeTech.
  3. ^ a b Liu, Edward (2020-03-23). "DLSS 2.0 – Image Reconstruction for Real-Time Rendering With Deep Learning" (PDF). Behind the Pixels.
  4. ^ "Nvidia's DLAA makes PC games look better with little performance hit". PCWorld. Retrieved 2024-04-20.
  5. ^ Yang, Lei; Liu, Shiqiu; Salvi, Marco. "A Survey of Temporal Antialiasing Techniques" (PDF). Computer Graphics Forum. 39 (2): 607–621. doi:10.1111/cgf.14018 – via Behind the Pixels.
  6. ^ De Meo, Francesco (2021-09-23). "The Elder Scrolls Online DLAA vs DLSS vs TAA Comparison Video Highlights DLAA Superior Image Quality". Wccftech. Retrieved 2022-02-20.