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Kai-46 avatar

Kai-46/nerfplusplus

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942 نجوم·101 تفرعات·Python·BSD-2-Clause·8 مشاهدات

Nerfplusplus

improves over nerf in 360 capture of unbounded scenes

Features

  • Compositional Modeling - Analyzes and improves radiance field composition.
  • Generative 3D Modeling - Analyzes and improves neural radiance field representations.

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الأسئلة الشائعة

ما هي وظيفة kai-46/nerfplusplus؟

improves over nerf in 360 capture of unbounded scenes

ما هي الميزات الرئيسية لـ kai-46/nerfplusplus؟

الميزات الرئيسية لـ kai-46/nerfplusplus هي: Compositional Modeling, Generative 3D Modeling.

ما هي البدائل مفتوحة المصدر لـ kai-46/nerfplusplus؟

تشمل البدائل مفتوحة المصدر لـ kai-46/nerfplusplus: openai/shap-e — Shap-E is a generative 3D modeling system that creates three-dimensional digital assets from natural language… threestudio-project/threestudio — Threestudio is a 3D generative AI framework designed to create three-dimensional assets from text prompts and images.… nv-tlabs/get3d — GET3D is a generative 3D mesh model and rendering framework designed to synthesize high-quality textured shapes and… lightningpixel/modly — Modly is a local AI 3D model generator that converts two-dimensional images into three-dimensional meshes. It is a… microsoft/trellis — TRELLIS is a 3D generative AI model and latent diffusion framework designed to transform natural language descriptions… coplaydev/unity-mcp — Unity MCP is a plugin that connects the Unity Editor to AI assistants through the Model Context Protocol, enabling…

بدائل مفتوحة المصدر لـ Nerfplusplus

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Nerfplusplus.
  • threestudio-project/threestudioالصورة الرمزية لـ threestudio-project

    threestudio-project/threestudio

    7,027عرض على GitHub↗

    Threestudio is a 3D generative AI framework designed to create three-dimensional assets from text prompts and images. It provides specialized pipelines for text-to-3D generation and image-to-3D reconstruction, utilizing a neural radiance field trainer to produce geometry and textures. The framework is distinguished by its support for hybrid geometry backends, including signed distance functions, tetrahedra grids, and volume grids. It employs score distillation sampling to guide the generation process and features a modular plugin system for loading custom modules and nodes. The system covers

    Jupyter Notebook
    عرض على GitHub↗7,027
  • openai/shap-eالصورة الرمزية لـ openai

    openai/shap-e

    12,251عرض على GitHub↗

    Shap-E is a generative 3D modeling system that creates three-dimensional digital assets from natural language descriptions or two-dimensional images. It functions as a generative model capable of producing three-dimensional implicit functions and assets. The project includes a 3D latent encoder that converts trimeshes and 3D models into latent representations using point clouds and multiview renders. It utilizes an image-to-3D generator to produce assets from synthetic view images and a text-to-3D generator to build shapes from text prompts. The system implements a pipeline involving latent

    Python
    عرض على GitHub↗12,251
  • microsoft/trellisالصورة الرمزية لـ microsoft

    microsoft/TRELLIS

    12,977عرض على GitHub↗

    TRELLIS is a 3D generative AI model and latent diffusion framework designed to transform natural language descriptions or reference images into textured 3D assets. It operates as a text-to-3D asset generator that utilizes structured latent representations to produce high-quality 3D meshes, Gaussians, and Radiance Fields. The system functions as a multi-format 3D decoder, converting internal representations into standard exchange formats such as GLB and PLY. It also serves as a 3D asset editing tool, enabling the modification of specific regions of generated objects through targeted text or im

    Python3d3d-aigc3d-generation
    عرض على GitHub↗12,977
  • lightningpixel/modlyالصورة الرمزية لـ lightningpixel

    lightningpixel/modly

    4,140عرض على GitHub↗

    Modly is a local AI 3D model generator that converts two-dimensional images into three-dimensional meshes. It is a privacy-focused tool that processes data directly on the host graphics card using GPU-accelerated inference. The system serves as an extensible AI model framework, allowing the integration of external model extensions and runtime files from remote repositories. It utilizes a manifest-driven plugin architecture to add new generation methods by loading metadata and files from external version control systems. The toolset includes a command-line interface for triggering generation

    TypeScript
    عرض على GitHub↗4,140
عرض جميع البدائل الـ 30 لـ Nerfplusplus→