awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
MrNeRF avatar

MrNeRF/LichtFeld-Studio

0
View on GitHub↗
3,269 stars·365 forks·C++·GPL-3.0·17 viewswww.lichtfeld.io↗

LichtFeld Studio

Features

  • Core Implementations - High-performance C++/CUDA implementation for Gaussian splatting.
  • Gaussian Splatting - Desktop application for training and inspecting splatting scenes.

Star history

Star history chart for mrnerf/lichtfeld-studioStar history chart for mrnerf/lichtfeld-studio

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Projects sharing features with LichtFeld Studio

These projects share indexed features with LichtFeld Studio. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • pierotofy/opensplatpierotofy avatar

    pierotofy/OpenSplat

    2,071View on GitHub↗

    A free and open source implementation of 3D gaussian splatting written in C++, focused on being portable, lean and fast.

    C++
    View on GitHub↗2,071
  • nerfstudio-project/gsplatnerfstudio-project avatar

    nerfstudio-project/gsplat

    4,528View on GitHub↗

    gsplat is a high-performance differentiable rasterization engine for 3D Gaussian splatting, designed for real-time novel view synthesis from 2D images. It provides a complete pipeline for reconstructing 3D scenes by optimizing differentiable Gaussian representations, training models from COLMAP-processed captures or proprietary device files, and generating new viewpoints through a CUDA-accelerated rendering backend. The framework distinguishes itself through memory-optimized CUDA kernels that reduce training memory usage by up to 4x compared to standard implementations while matching publishe

    Pythongaussian-splatting
    View on GitHub↗4,528
  • graphdeco-inria/gaussian-splattinggraphdeco-inria avatar

    graphdeco-inria/gaussian-splatting

    20,707View on GitHub↗

    Gaussian Splatting is a computational framework designed to transform sparse sets of two-dimensional photographs into photorealistic, interactive three-dimensional scene representations. The system functions as a reconstruction tool and rendering engine, enabling the conversion of image data into volumetric models that support novel view synthesis. The project represents scenes as a collection of anisotropic three-dimensional Gaussians, which store position, opacity, color, and covariance data. It distinguishes itself through a differentiable tile-based rasterization process that projects the

    Pythoncomputer-graphicscomputer-visionradiance-field
    View on GitHub↗20,707
  • hustvl/4dgaussianshustvl avatar

    hustvl/4DGaussians

    3,783View on GitHub↗

    4DGaussians is a research library and neural rendering engine designed for reconstructing and rendering dynamic three-dimensional scenes. It represents moving environments as a collection of Gaussian primitives that evolve in position and appearance over a temporal dimension. The framework utilizes neural deformation fields to predict spatial offsets and rotations for static point representations, simulating complex motion over time. It further employs temporal basis decomposition to encode motion trajectories into learned functions, compressing dynamic scene data while maintaining smooth tra

    Jupyter Notebook3dcomputer-visioncvpr2024
    View on GitHub↗3,783
Compare all 16 related projects→

Frequently asked questions

What are the main features of mrnerf/lichtfeld-studio?

The main features of mrnerf/lichtfeld-studio are: Core Implementations, Gaussian Splatting.

Which projects share features with mrnerf/lichtfeld-studio?

Projects with overlapping indexed features include: pierotofy/opensplat — A free and open source implementation of 3D gaussian splatting written in C++, focused on being portable, lean and fast. nerfstudio-project/gsplat — gsplat is a high-performance differentiable rasterization engine for 3D Gaussian splatting, designed for real-time… graphdeco-inria/gaussian-splatting — Gaussian Splatting is a computational framework designed to transform sparse sets of two-dimensional photographs into… hustvl/4dgaussians — 4DGaussians is a research library and neural rendering engine designed for reconstructing and rendering dynamic… mrforexample/comfyui-3d-pack — ComfyUI-3D-Pack is a suite of custom nodes for ComfyUI that enables 3D asset generation and rendering within a… genesis-embodied-ai/genesis — Genesis is an embodied AI simulation platform and parallelized robotics simulator designed for training…