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  2. Image restoration by artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Image_restoration_by...

    Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur , noise and camera mis-focus. [ 1 ]

  3. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.

  4. Luminar Neo - Wikipedia

    en.wikipedia.org/wiki/Luminar_Neo

    Luminar Neo’s signature tools are: Enhance AI adjusts up to a dozen controls with one slider. Relight AI fixes underexposed photos. Sky AI replaces the sky without the need for masking. Atmosphere AI places fog, mist, or haze in your image. Structure AI sharpens details without affecting the people in the photo.

  5. 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 ...

  6. Boris Continuum Complete - Wikipedia

    en.wikipedia.org/wiki/Boris_Continuum_Complete

    Boris Continuum Complete is a special effects plug-in package that works in conjunction with Adobe Creative Suite, including CS6, Avid editing and finishing systems such as Sony Vegas Pro, and Apple Final Cut Pro.

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The first iteration of DLSS is a predominantly spatial image upscaler with two stages, both relying on convolutional auto-encoder neural networks. [21] The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The second stage is an image upscaling step ...

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