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  2. Deep Learning Anti-Aliasing - Wikipedia

    en.wikipedia.org/wiki/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 ...

  3. Deep Learning Super Sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The data DLSS 2.0 collects includes: the raw low-resolution input, motion vectors, depth buffers, and exposure / brightness information. [13] It can also be used as a simpler TAA implementation where the image is rendered at 100% resolution, rather than being upsampled by DLSS, Nvidia brands this as DLAA (Deep Learning Anti-Aliasing). [26]

  4. Temporal anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Temporal_anti-aliasing

    Nvidia's DLSS operates on similar principles to TAA. Like TAA, it uses information from past frames to produce the current frame. Unlike TAA, DLSS does not sample every pixel in every frame. Instead, it samples different pixels in different frames and uses pixels sampled in past frames to fill in the unsampled pixels in the current frame.

  5. NVIDIA brings its performance-enhancing DLSS to VR games - AOL

    www.aol.com/news/nvidia-dlss-virtual-reality...

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  6. Spatial anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Spatial_anti-aliasing

    The Future of Anti-Aliasing: A comparison of the different algorithms MSAA, MLAA, DLAA and FXAA (in French) Le rôle du filtre anti-aliasing dans les APN (the function of anti-aliasing filter in dSLR) "SMOOTHVISION™" (PDF). ATI Technologies. Archived from the original (PDF) on January 18, 2007.

  7. Fast approximate anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Fast_approximate_anti-aliasing

    The main advantage of this technique over conventional spatial anti-aliasing is that it does not require large amounts of computing power.It achieves this by smoothing undesirable jagged edges ("jaggies") [4] as pixels, according to how they appear on-screen, rather than analyzing the 3D model itself, as in conventional spatial anti-aliasing. [1]

  8. GPUOpen - Wikipedia

    en.wikipedia.org/wiki/GPUOpen

    Launching in September 2023, FSR 3 uses a combination of FSR 2 and optical flow analysis, which runs using asynchronous compute (as opposed to Nvidia's DLSS 3 which uses dedicated hardware). Because FSR 3 uses a software-based solution, it is compatible with GPUs from AMD, Nvidia, and Intel as well as the ninth generation of video game consoles .

  9. Decima (game engine) - Wikipedia

    en.wikipedia.org/wiki/Decima_(game_engine)

    Decima is a proprietary game engine made by Guerrilla Games and released in November 2013, that includes tools and features like artificial intelligence and game physics.It is compatible with 4K resolution and high-dynamic-range imaging, used for games on PlayStation 4, PlayStation 5, Microsoft Windows, macOS, iOS, iPadOS and Xbox Series X/S.