Lists (12)
Stars
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Everything you need to build state-of-the-art foundation models, end-to-end.
A simple tutorial of Variational AutoEncoders with Pytorch
Command-line program to download videos from YouTube.com and other video sites
Document to Markdown OCR library with Llama 3.2 vision
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
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.
A differentiable rasterizer used in the project "2D Gaussian Splatting"
CUDA accelerated rasterization of gaussian splatting
Differentiable gaussian rasterization with depth, alpha, normal map and extra per-Gaussian attributes, also support camera pose gradient
Chocolate Doom is a Doom source port that is minimalist and historically accurate.
A port of the game DOOM to the Python scripting language, aiming for maximum flexibility through modding.
C++ implementation of the Marching Cubes algorithm
Gauzilla: a 3D Gaussian Splatting renderer written in Rust for WebAssembly with lock-free multithreading
Bayesian inference with probabilistic programming.
[VIPriors ICCV Workshop 2023] Pytorch implementation of RV modules and VAE modifications from the paper: "RV-VAE: Integrating Random Variable Algebra into Variational Autoencoders"
A Julia clone of https://pypi.python.org/pypi/tqdm
Progress meter for long-running computations
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.t…