janusch
MrNeRF
Founder: LichtFeld Studio Professional C++ Software Engineer. Skills: CUDA, Optimization, Golang, Python, Cloud Computing. Available for contracting.
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Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
CPP Implementation of "LightGlue: Local Feature Matching at Light Speed"
CPP Implementation of "ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation"
Optmized Fused-SSIM
Web Presentation of the Lichtfeld Studio
Repositories
53Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Web Presentation of the Lichtfeld Studio
CPP Implementation of "LightGlue: Local Feature Matching at Light Speed"
3D Gaussian Splat Editor
CUDA and C++ implementation of a Neural Network architecture training CUDA
This project is a CUDA and libtorch-based template, intended to serve as a starting point for high performance computing and machine learning projects on NVIDIA GPUs. It uses Google Test as a testing framework to test against libtorch.
CPP Implementation of "ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation"
CUDA accelerated rasterization of gaussian splatting
Optmized Fused-SSIM
Test plugin for Lichtfeld
LCC data format white paper
GLOMAP - Global Structured-from-Motion Revisited
Offical code for "FastGS: Training 3D Gaussian Splatting in 100 Seconds"
Fully Fused Differentiable Bilateral Grid
Parrot is a C++ library for fused array operations using CUDA/Thrust. It provides efficient GPU-accelerated operations with lazy evaluation semantics, allowing for chaining of operations without unnecessary intermediate materializations.
Densify a colmap using depth map
You like pytorch? You like micrograd? You love tinygrad! ❤️
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
CLI tool for 3D Gaussian splat format conversion and transformation
LLM training in simple, raw C/CUDA
Code for "LiftFeat: 3D Geometry-Aware Local Feature Matching", ICRA2025
Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
Cuda support lib for GM fit, volume renderer and convolution networks
MVGS: Multi-View Regulated Gaussian Splatting for Novel View Synthesis
Cuda stroke provides some math for fluffy point clouds (Gaussian mixtures)
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
[SIGGRAPH 2025 Conference Paper] Virtualized 3D Gaussians (V3DG)
[WACV 2025] OmniGS: Fast Radiance Field Reconstruction using Omnidirectional Gaussian Splatting