Showing 3 open source projects for "generative ai"

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    RetroShine

    RetroShine

    Restore your old photos with one click

    ...Whether you’re reviving family memories or preserving your artistic legacy for future generations, RetroShine uses intelligent color enhancement and curve corrections to restore natural tones and give your photos a fresh, contemporary look. Authenticity is our mission. Unlike generative AI tools, RetroShine doesn’t manipulate your images or invent fake details that never existed. It analyzes each photo and adjusts color curves dynamically for a crisp, natural-looking, beautifully balanced result, just the way people expect in the digital age. No subscriptions. No ads. No data collection. Privacy guaranteed.
    Downloads: 0 This Week
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  • 2
    GIMP ML

    GIMP ML

    AI for GNU Image Manipulation Program

    This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on...
    Downloads: 8 This Week
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  • 3
    Exposure

    Exposure

    Learning infinite-resolution image processing with GAN and RL

    Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may...
    Downloads: 0 This Week
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