Showing 4 open source projects for "image pattern match"

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    Satori

    Satori

    Enlightened library to convert HTML and CSS to SVG

    Enlightened library to convert HTML and CSS to SVG. Satori supports the JSX syntax, which makes it very straightforward to use. Satori will render the element into a 600×400 SVG, and return the SVG string. Under the hood, it handles layout calculation, font, typography and more, to generate a SVG that matches the exact same HTML and CSS in a browser. Satori only accepts JSX elements that are pure and stateless. You can use a subset of HTML elements (see section below), or custom React...
    Downloads: 0 This Week
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  • 2
    Point-E

    Point-E

    Point cloud diffusion for 3D model synthesis

    point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second diffusion model converts that image into a 3D point cloud. ...
    Downloads: 2 This Week
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  • 3
    Minimal text diffusion

    Minimal text diffusion

    A minimal implementation of diffusion models for text generation

    ...The other default arguments are set to match the best setting I found for the simple corpus.
    Downloads: 0 This Week
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  • 4
    Reliable Metrics for Generative Models

    Reliable Metrics for Generative Models

    Code base for the precision, recall, density, and coverage metrics

    ...In this paper, we show that even the latest version of the precision and recall (Kynkäänniemi et al., 2019) metrics are not reliable yet. For example, they fail to detect the match between two identical distributions, they are not robust against outliers, and the evaluation hyperparameters are selected arbitrarily. We propose density and coverage metrics that solve the above issues.
    Downloads: 0 This Week
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