Showing 4 open source projects for "dynamic geometry"

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  • 1
    Cesium

    Cesium

    An open-source JavaScript library for world-class 3D globes and maps

    CesiumJS is an open source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data. Built on open formats, CesiumJS is designed for robust interoperability and scaling for massive datasets. CesiumJS is released under the Apache 2.0 license and is free for...
    Downloads: 8 This Week
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  • 2
    Lullaby

    Lullaby

    A collection of C++ libraries designed to help teams

    Lullaby is a modular collection of high-performance C++ libraries developed by Google for creating immersive virtual and augmented reality (VR/AR) experiences. It provides a flexible framework built around an Entity-Component-System (ECS) architecture, enabling developers to design efficient, scalable, and data-driven 3D applications. The framework includes tools and APIs for rendering full 3D environments, managing spatial audio, handling animations, and constructing interactive UI elements...
    Downloads: 0 This Week
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  • 3
    Nerfies

    Nerfies

    This is the code for Deformable Neural Radiance Fields

    Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting.
    Downloads: 0 This Week
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  • 4
    Replica Dataset

    Replica Dataset

    High-fidelity indoor 3D dataset for AI simulation and robotics

    Replica Dataset is a high-quality 3D dataset of realistic indoor environments designed to advance research in computer vision, robotics, and embodied AI. Developed by Facebook Research (now Meta AI), it features accurate geometric reconstructions, high-resolution and high dynamic range textures, and comprehensive semantic annotations. Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and...
    Downloads: 20 This Week
    Last Update:
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