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
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
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
Implicit Geometric Regularization for Learning Shapes
The main features of amosgropp/igr are: Geometry Reconstruction, Physics and PDE Solvers, Point Cloud Reconstruction.
Open-source alternatives to amosgropp/igr include: 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.
