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Starred repositories
DepthAI Python API utilities, examples, and tutorials.
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
I had some hard time finding any useful guide on how to write a simple working compute shader program. So I wrote one. It's quite self-explanatory: it adds two vectors. The program is based on GLUT…
PersonaLive! : Expressive Portrait Image Animation for Live Streaming
Sharp Monocular View Synthesis in Less Than a Second
milkcask / martini_rtin
Forked from mapbox/martiniA library ported into Rust for real-time RTIN terrain mesh generation
This repository contains an Arduino IDE project for the Spresense board that uses the multi IMU (Inertial Measurement Unit) to perform sensor-based self-localization.
Any4D: Unified Feed-Forward Metric 4D Reconstruction
This is a minimal example project for the Oculus Quest, written completely in Rust.
A data-oriented game engine written in Rust with a custom ECS 🦀
A minimal example of using Rust, Vulkan, and egui without using eframe 🦀
A minimal example of using Rust, wgpu, and egui without using eframe 🦀 Works on Windows/Linux/MacOS/Web/Android/OpenXR (Such as Quest 3 + Virtual Desktop)
"MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation"
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
ComfyUI support for DepthAnything V3 model
Real-time 3D video player powered by Depth Anything 3. Stream MP4s to WebXR/VR with metric depth estimation.
A simple note-taking MCP server for recording and managing notes with AI models.
Stop re-explaining your project to AI every session. Automatic context memory for Claude, VS Code, Cursor, and 13+ AI tools.
A Feature-based visual SLAM algorithm which takes video footage as input
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)
ImMesh: An Immediate LiDAR Localization and Meshing Framework
📌 PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map [RSS' 25]
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
GLIM: versatile and extensible point cloud-based 3D localization and mapping framework