Showing 5 open source projects for "user"

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  • 1
    OptiScaler

    OptiScaler

    OptiScaler bridges upscaling/frame gen across GPUs

    ...Instead of relying on the upscaling method originally integrated by a game developer, the software intercepts the game’s rendering pipeline and redirects it to alternative technologies chosen by the user. This makes it possible to swap technologies such as NVIDIA DLSS, AMD FSR, or Intel XeSS even if the game only supports one of them by default. The tool effectively acts as a compatibility layer between the game engine and multiple upscaling frameworks, enabling cross-GPU access to features that might otherwise be restricted to specific hardware ecosystems. ...
    Downloads: 222 This Week
    Last Update:
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  • 2
    Anime Player

    Anime Player

    Video player for improving quality of hand-drawn images

    A video player that enhances the quality of a hand-drawn image using Anime4K's high-performance scaling algorithm. This program is a video player written in the Python programming language using the PySimpleGUI graphical user interface library, an mpv media player, and the Anime4K scaling algorithm . Anime Player is designed to play video and audio files and includes functions such as opening files, URLs and folders, setting image scaling parameters using the Anime4K algorithm, creating an mpv config for watching videos using the Anime4K algorithm on Android, viewing help and information about tuning the algorithm. ...
    Downloads: 23 This Week
    Last Update:
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  • 3
    enhancr

    enhancr

    Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT

    enhancr is an elegant and easy to use GUI for Video Frame Interpolation and Video Upscaling which takes advantage of artificial intelligence - built using node.js and Electron. It was created to enhance the user experience for anyone interested in enhancing video footage using artificial intelligence. The GUI was designed to provide a stunning experience powered by state-of-the-art technologies without feeling clunky and outdated like other alternatives. It features blazing-fast TensorRT inference by NVIDIA, which can speed up AI processes significantly. ...
    Downloads: 10 This Week
    Last Update:
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  • 4
    G2SConverter

    G2SConverter

    Convert models from GoldSource engine to Source engine with AI

    ...All operations to improve the quality of textures are performed by neural networks. To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8. After the Upscaling procedure, the texture is deblured using the Scale-recurrent Network for Deep Image Deblurring. An example of a processed texture is shown in the following image (parameters used: scaling-factor = 4 and deblur iterations = 4) besides upscaling and debluring the utility also generates normal maps for each texture. ...
    Downloads: 0 This Week
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  • 5
    AviSynth AiUpscale v1.2.0

    AviSynth AiUpscale v1.2.0

    AviSynth+ implementation of Super-Resolution Convolutional Neural

    An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks. Independent luma/chroma upscaling and chroma resampling. Two modes for Video/Photography and Line Art. KrigBilateral option for chroma upscaling/resampling. mpv user shaders of all models for real-time upscaling. Copy AiUpscale.avsi and the Shaders folder to the AviSynth+ plugins folder. The low resolution images were generated using the bicubic filter with Catmull-Rom settings, which is the method commonly used for training super-resolution networks, including those tested here. Note however that as an exception to this, the Anime4K models were trained using the average area downsampling method. ...
    Downloads: 1 This Week
    Last Update:
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