Texture filtering: Difference between revisions

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*Extremely hardware intensive compared to every other filter on this list; requires a capable GPU.
*Extremely hardware intensive compared to every other filter on this list; requires a capable GPU.
*Can sometimes introduce small "wobbles" or artifacts in very complex, noisy textures where the AI misidentifies an edge.
*Can sometimes introduce small "wobbles" or artifacts in very complex, noisy textures where the AI misidentifies an edge.
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|'''ArtCNN'''
|A lightweight Convolutional Neural Network (CNN) designed for real-time upscaling and artifact removal. It uses machine learning to reconstruct sharp edges and smooth gradients.
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*Produces some of the cleanest results for 2D art and UI elements.
*Excellent at removing "ringing" and compression artifacts that other scalers might amplify.
*Provides a much more natural, "hand-drawn" look compared to the "oil painting" effect of xBRZ.
*Highly optimized; much faster than NNEDI3 while providing similar or better visual clarity.
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*Requires a GPU that supports modern shader languages (Vulkan/GLSL/HLSL).
*Can occasionally "over-clean" textures, removing intentional film grain or fine grit in 3D textures.
*May be too demanding for very low-end integrated graphics or older mobile devices.
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