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amosgropp/IGR

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447 स्टार्स·42 फोर्क्स·Python·8 व्यूज़

IGR

Implicit Geometric Regularization for Learning Shapes

Features

  • Geometry Reconstruction - Optimizing implicit geometric representations directly from raw point clouds.
  • Physics and PDE Solvers - Learns signed distance functions by enforcing eikonal equation constraints.
  • Point Cloud Reconstruction - Implicit geometric regularization for learning 3D shapes.

स्टार हिस्ट्री

amosgropp/igr के लिए स्टार हिस्ट्री चार्टamosgropp/igr के लिए स्टार हिस्ट्री चार्ट

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IGR के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो IGR के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • matanatz/salmatanatz का अवतार

    matanatz/SAL

    90GitHub पर देखें↗

    SAL: Sign Agnostic Learning of Shapes From Raw Data

    Python
    GitHub पर देखें↗90
  • lululxvi/deepxdelululxvi का अवतार

    lululxvi/deepxde

    3,874GitHub पर देखें↗

    DeepXDE is a scientific machine learning library and deep learning PDE solver used to compute solutions for forward and inverse ordinary, partial, and integro-differential equations. It functions as a physics-informed neural network library that embeds physical laws and boundary conditions directly into the neural network loss function. The project provides a deep operator network framework for learning operator mappings that approximate relationships between functions in multiphysics problems. It is implemented as a multi-backend tensor library, allowing the system to switch between differen

    Pythondeep-learningdeeponetjax
    GitHub पर देखें↗3,874
  • google/dracogoogle का अवतार

    google/draco

    7,357GitHub पर देखें↗

    Draco is a library and toolset for compressing, transcoding, and decoding 3D geometric meshes and point cloud data. Its primary purpose is to reduce storage size and transmission bandwidth for 3D assets. The project includes a geometry optimizer specifically for glTF file containers to reduce asset footprints. It also features a hardened decoder designed to process malformed or untrusted 3D geometric data safely to prevent memory corruption and crashes. The software covers a broad range of 3D data processing capabilities, including geometric data reconstruction, point attribute management, a

    C++
    GitHub पर देखें↗7,357
  • nv-tlabs/get3dnv-tlabs का अवतार

    nv-tlabs/GET3D

    4,441GitHub पर देखें↗

    GET3D is a generative 3D mesh model and rendering framework designed to synthesize high-quality textured shapes and tetrahedral meshes. It functions as an image-to-3D reconstructor and text-to-3D generator, utilizing a differentiable 3D renderer to produce realistic visual perspectives and material effects. The system enables the creation of 3D assets from single 2D images, point clouds, or descriptive text prompts. It features a latent space interpolator for creating smooth transitions between different 3D objects and supports the independent control of geometry and texture. The project cov

    Python
    GitHub पर देखें↗4,441
IGR के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

amosgropp/igr क्या करता है?

Implicit Geometric Regularization for Learning Shapes

amosgropp/igr की मुख्य विशेषताएं क्या हैं?

amosgropp/igr की मुख्य विशेषताएं हैं: Geometry Reconstruction, Physics and PDE Solvers, Point Cloud Reconstruction।

amosgropp/igr के कुछ ओपन-सोर्स विकल्प क्या हैं?

amosgropp/igr के ओपन-सोर्स विकल्पों में शामिल हैं: matanatz/sal — SAL: Sign Agnostic Learning of Shapes From Raw Data. lululxvi/deepxde — DeepXDE is a scientific machine learning library and deep learning PDE solver used to compute solutions for forward… openai/point-e — Point-e is a system for 3D model synthesis that generates three-dimensional point clouds from natural language… google/draco — Draco is a library and toolset for compressing, transcoding, and decoding 3D geometric meshes and point cloud data.… nv-tlabs/get3d — GET3D is a generative 3D mesh model and rendering framework designed to synthesize high-quality textured shapes and… fwilliams/deep-geometric-prior — The reference implementaiton for the CVPR 2019 paper Deep Geometric Prior for Surface Reconstruction.